{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.chdir('/lustre/scratch/kiviaho/prostate_spatial')\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns \n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "sns.set_theme(style='white')\n",
    "from scipy.stats import spearmanr, ttest_ind, mannwhitneyu\n",
    "import gseapy as gp\n",
    "\n",
    "from scripts.utils import get_treatment_info, load_from_pickle, get_sample_id_mask\n",
    "\n",
    "import warnings\n",
    "\n",
    "import anndata as ad\n",
    "#from pydeseq2 import dds\n",
    "#from pydeseq2.ds import DeseqStats\n",
    "#from pydeseq2.default_inference import DefaultInference\n",
    "\n",
    "# Filter out all warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "\n",
    "treatment_mapping_dict_simple = {\n",
    "'bph':'BPH',\n",
    "'untreated':'TRNA',\n",
    "'goserelin':'NEADT',\n",
    "'bicalutamide':'NEADT',\n",
    "'degarelix':'NEADT',\n",
    "'degarelix_apalutamide':'NEADT',\n",
    "'crpc':'CRPC'}\n",
    "\n",
    "\n",
    "masked_sample_ids = get_sample_id_mask()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading and normalizing pseudobulked data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pseudobulk_dat = pd.read_csv('data/spatial_pseudobulk_unnormalized.csv',index_col=0)\n",
    "treat_info = get_treatment_info()\n",
    "\n",
    "# Specify the path to your GTF file\n",
    "gtf_file_path = './gencode.v43.annotation.gtf'\n",
    "\n",
    "# Since the data has come through different pipelines, some genes might be present in only Tampere or only ARNEO\n",
    "# Drop the genes that have 0 counts in either cohort\n",
    "tampere_samples = pseudobulk_dat.columns[:37].tolist()\n",
    "arneo_samples = pseudobulk_dat.columns[37:].tolist()\n",
    "pseudobulk_dat = pseudobulk_dat[(pseudobulk_dat[tampere_samples].sum(axis=1) != 0) & (pseudobulk_dat[arneo_samples].sum(axis=1) != 0)]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TPM normalization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_gene_lengths_from_gtf(file_path):\n",
    "    gene_lengths = {}\n",
    "\n",
    "    with open(file_path, 'r') as file:\n",
    "        for line in file:\n",
    "            if line.startswith('#'):\n",
    "                continue\n",
    "            data = line.strip().split('\\t')\n",
    "            if data[2] == 'gene':\n",
    "                attributes = data[8].split(';')\n",
    "                gene_name = [x.split('\"')[1] for x in attributes if 'gene_name' in x][0]\n",
    "                start = int(data[3])\n",
    "                end = int(data[4])\n",
    "                length = end - start + 1\n",
    "                gene_lengths[gene_name] = length\n",
    "\n",
    "    return gene_lengths\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract gene lengths from the GTF file\n",
    "gene_lengths = extract_gene_lengths_from_gtf(gtf_file_path)\n",
    "\n",
    "# Subset the pseudobulk data to only contain those genes that have annotation\n",
    "pseudobulk_dat = pseudobulk_dat[pseudobulk_dat.index.isin(gene_lengths.keys())]\n",
    "\n",
    "# Map the gene lengts to pseudobulk genes \n",
    "gene_length_mapping = pseudobulk_dat.index.map(gene_lengths).tolist()\n",
    "\n",
    "# Transform gene lenghts to kilobase\n",
    "gene_length_mapping = np.array(gene_length_mapping,dtype=float)/1e3\n",
    "\n",
    "# Function to calculate TPM\n",
    "def calculate_tpm(df,gene_lengths_per_kb=gene_length_mapping):\n",
    "\n",
    "    # Gene reads per kilobase\n",
    "    df_rpk = df.divide(gene_lengths_per_kb,axis=0)\n",
    "\n",
    "    # Total rpk per sample \n",
    "    sample_scaling_factor = df_rpk.sum()/1e6\n",
    "\n",
    "    # TPM\n",
    "    tpm_df = df_rpk.divide(sample_scaling_factor)\n",
    "\n",
    "    return tpm_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Perform TPM normalization\n",
    "tpm_normalized_dat = calculate_tpm(pseudobulk_dat)\n",
    "\n",
    "# Modify the counts and subet categories\n",
    "\n",
    "categories =['untreated','goserelin','bicalutamide', 'degarelix','degarelix_apalutamide']\n",
    "\n",
    "# Add pseudocount and log2-transform\n",
    "log2_tpm_normalized_dat = np.log2(tpm_normalized_dat.T +1 )\n",
    "\n",
    "# Map treatment and filter according TRNA-NEADT\n",
    "log2_tpm_normalized_dat['treatment'] = log2_tpm_normalized_dat.index.map(treat_info).map(treatment_mapping_dict_simple).tolist()\n",
    "log2_tpm_normalized_dat['treatment_detailed'] = log2_tpm_normalized_dat.index.map(treat_info)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Differential expression testing on TPM-normalized pseudobulk data with pyDESeq2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Transpose the data\n",
    "pseudobulk_dat_T = pseudobulk_dat.T\n",
    "\n",
    "# Add the treatment information\n",
    "pseudobulk_dat_T['treatment'] = pseudobulk_dat_T.index.map(treat_info).map(treatment_mapping_dict_simple).tolist()\n",
    "\n",
    "# Filter to contain only the treatnment-naive and the ADT treated\n",
    "pseudobulk_dat_T =  pseudobulk_dat_T[pseudobulk_dat_T['treatment'].isin(['TRNA','NEADT'])]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Fitting size factors...\n",
      "... done in 0.02 seconds.\n",
      "\n",
      "Fitting dispersions...\n",
      "... done in 14.55 seconds.\n",
      "\n",
      "Fitting dispersion trend curve...\n",
      "... done in 1.29 seconds.\n",
      "\n",
      "Fitting MAP dispersions...\n",
      "... done in 14.90 seconds.\n",
      "\n",
      "Fitting LFCs...\n",
      "... done in 2.35 seconds.\n",
      "\n",
      "Refitting 972 outliers.\n",
      "\n",
      "Fitting dispersions...\n",
      "... done in 0.53 seconds.\n",
      "\n",
      "Fitting MAP dispersions...\n",
      "... done in 0.55 seconds.\n",
      "\n",
      "Fitting LFCs...\n",
      "... done in 0.23 seconds.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Construct the DESeq2 dataset\n",
    "pseudobulk_as_adata = ad.AnnData(pseudobulk_dat_T.drop(columns=['treatment']),\n",
    "           var=pd.DataFrame(index=pseudobulk_dat_T.drop(columns=['treatment']).columns),\n",
    "           obs=pseudobulk_dat_T[['treatment']]\n",
    "           )\n",
    "\n",
    "deseq_dataset = dds.DeseqDataSet(adata=pseudobulk_as_adata,design_factors='treatment', ref_level=['treatment','TRNA'])\n",
    "\n",
    "# Run the DESeq2 analysis\n",
    "deseq_dataset.deseq2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Running Wald tests...\n",
      "... done in 6.79 seconds.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Log2 fold change & Wald test p-value: treatment NEADT vs TRNA\n",
      "              baseMean  log2FoldChange     lfcSE      stat    pvalue      padj\n",
      "A1BG        421.275726        0.767528  0.327602  2.342865  0.019136  0.058806\n",
      "A1BG-AS1     53.164989        0.829052  0.319680  2.593381  0.009504  0.034466\n",
      "A1CF          0.285621        0.893868  3.081769  0.290050  0.771778       NaN\n",
      "A2M       15241.339844        0.436836  0.300557  1.453419  0.146107  0.274791\n",
      "A2M-AS1      51.585648        0.677634  0.198633  3.411488  0.000646  0.004178\n",
      "...                ...             ...       ...       ...       ...       ...\n",
      "ZXDC        308.620392        0.348826  0.150626  2.315842  0.020567  0.062229\n",
      "ZYG11A       49.847469        0.226922  0.358821  0.632409  0.527120  0.672008\n",
      "ZYG11B      546.892944       -0.125416  0.105577 -1.187906  0.234871  0.386940\n",
      "ZYX        2827.512939        0.452416  0.208853  2.166195  0.030296  0.083276\n",
      "ZZEF1       434.725708        0.108729  0.075083  1.448114  0.147585  0.276770\n",
      "\n",
      "[17696 rows x 6 columns]\n"
     ]
    }
   ],
   "source": [
    "# Define the inference\n",
    "inference = DefaultInference(n_cpus=2)\n",
    "\n",
    "# Calculate the test statistics, lfc and p-values\n",
    "stat_res = DeseqStats(deseq_dataset, inference=inference)\n",
    "stat_res.summary()\n",
    "\n",
    "# Get the final dataframe\n",
    "de_res = stat_res.results_df.copy()\n",
    "\n",
    "# Save the results into a csv file for later use\n",
    "de_res.to_csv('./data/pseudobulk_deseq_res_trna_vs_neadt.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a Pandas Excel writer using the file name\n",
    "writer = pd.ExcelWriter('./supplementary_tables/pseudobulk_deseq2_results_trna_vs_neadt.xlsx', engine='xlsxwriter')\n",
    "\n",
    "# Write the dataframe into a  Excel file\n",
    "de_res.reset_index(names='gene').to_excel(writer)\n",
    "\n",
    "# Save and close the Excel writer\n",
    "writer.save()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot the expression of relevant DE genes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download the DESeq2 results from a file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ORM2</th>\n",
       "      <td>205.163010</td>\n",
       "      <td>-5.892494</td>\n",
       "      <td>1.221084</td>\n",
       "      <td>-4.825625</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PCGEM1</th>\n",
       "      <td>282.375000</td>\n",
       "      <td>-4.911999</td>\n",
       "      <td>1.130320</td>\n",
       "      <td>-4.345672</td>\n",
       "      <td>0.000014</td>\n",
       "      <td>0.000199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FGL1</th>\n",
       "      <td>18.941490</td>\n",
       "      <td>-4.875488</td>\n",
       "      <td>1.253155</td>\n",
       "      <td>-3.890570</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>0.000969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ORM1</th>\n",
       "      <td>63.875935</td>\n",
       "      <td>-4.637892</td>\n",
       "      <td>1.575119</td>\n",
       "      <td>-2.944471</td>\n",
       "      <td>0.003235</td>\n",
       "      <td>0.014901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LLCFC1</th>\n",
       "      <td>1.912150</td>\n",
       "      <td>-4.634777</td>\n",
       "      <td>1.337713</td>\n",
       "      <td>-3.464703</td>\n",
       "      <td>0.000531</td>\n",
       "      <td>0.003549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCN1</th>\n",
       "      <td>1389.128500</td>\n",
       "      <td>19.841198</td>\n",
       "      <td>6.789952</td>\n",
       "      <td>2.922141</td>\n",
       "      <td>0.003476</td>\n",
       "      <td>0.015720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCN2</th>\n",
       "      <td>2127.088900</td>\n",
       "      <td>20.177806</td>\n",
       "      <td>6.508118</td>\n",
       "      <td>3.100406</td>\n",
       "      <td>0.001933</td>\n",
       "      <td>0.010008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IGLC1</th>\n",
       "      <td>2901.869000</td>\n",
       "      <td>20.290042</td>\n",
       "      <td>5.781115</td>\n",
       "      <td>3.509711</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>0.003112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TLE5</th>\n",
       "      <td>3082.846000</td>\n",
       "      <td>20.573904</td>\n",
       "      <td>6.095636</td>\n",
       "      <td>3.375186</td>\n",
       "      <td>0.000738</td>\n",
       "      <td>0.004648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TPT1-AS1</th>\n",
       "      <td>148.093720</td>\n",
       "      <td>43.280851</td>\n",
       "      <td>15.185974</td>\n",
       "      <td>2.850054</td>\n",
       "      <td>0.004371</td>\n",
       "      <td>0.018823</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1637 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             baseMean  log2FoldChange      lfcSE      stat    pvalue      padj\n",
       "ORM2       205.163010       -5.892494   1.221084 -4.825625  0.000001  0.000030\n",
       "PCGEM1     282.375000       -4.911999   1.130320 -4.345672  0.000014  0.000199\n",
       "FGL1        18.941490       -4.875488   1.253155 -3.890570  0.000100  0.000969\n",
       "ORM1        63.875935       -4.637892   1.575119 -2.944471  0.003235  0.014901\n",
       "LLCFC1       1.912150       -4.634777   1.337713 -3.464703  0.000531  0.003549\n",
       "...               ...             ...        ...       ...       ...       ...\n",
       "CCN1      1389.128500       19.841198   6.789952  2.922141  0.003476  0.015720\n",
       "CCN2      2127.088900       20.177806   6.508118  3.100406  0.001933  0.010008\n",
       "IGLC1     2901.869000       20.290042   5.781115  3.509711  0.000449  0.003112\n",
       "TLE5      3082.846000       20.573904   6.095636  3.375186  0.000738  0.004648\n",
       "TPT1-AS1   148.093720       43.280851  15.185974  2.850054  0.004371  0.018823\n",
       "\n",
       "[1637 rows x 6 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "de_res = pd.read_csv('./data/pseudobulk_deseq_res_trna_vs_neadt.csv',index_col=0)\n",
    "de_res = de_res.sort_values('log2FoldChange')\n",
    "de_res_signif = de_res[(np.abs(de_res['log2FoldChange']) >=1) & (de_res['padj'] < 0.05)].sort_values('log2FoldChange') \n",
    "de_res_signif"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Look for relevant genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Download the gene lists\n",
    "gene_set_df = pd.read_excel('custom_gene_lists.xlsx',header=None).drop(columns=0).set_index(1).T\n",
    "\n",
    "# Fix some of the encoding\n",
    "gene_set_df = gene_set_df.replace({'NKX3–1':'NKX3-1','C1ORF116':'C1orf116'})\n",
    "\n",
    "def check_top_markers(r,p_thresh=0.05):\n",
    "    # These results rank the deg significance and specificity (low p-value = good marker)\n",
    "    deg_fishers_res_dict = load_from_pickle('./data/region_gene_markers_fishers_exact_test_240229.pkl')\n",
    "\n",
    "    fishers_test_df = deg_fishers_res_dict[r].rename(columns={'interaction':'gene','active_in':'deg in'})\n",
    "    fishers_test_df = fishers_test_df.sort_values('adj_pval').reset_index(drop=True)\n",
    "    fishers_test_df = fishers_test_df[fishers_test_df['adj_pval'] < p_thresh]\n",
    "\n",
    "    return fishers_test_df\n",
    "\n",
    "marker_genes = check_top_markers('Club epithelium')['gene'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "baseMean          1362.059300\n",
      "log2FoldChange       1.224156\n",
      "padj                 0.033418\n",
      "Name: KRT7, dtype: float64\n",
      "\n",
      "baseMean          2206.22300\n",
      "log2FoldChange       1.29904\n",
      "padj                 0.00006\n",
      "Name: IGFBP3, dtype: float64\n",
      "\n",
      "baseMean          535.675100\n",
      "log2FoldChange      1.499834\n",
      "padj                0.000161\n",
      "Name: CRABP2, dtype: float64\n",
      "\n",
      "baseMean          1145.236700\n",
      "log2FoldChange       2.018718\n",
      "padj                 0.000018\n",
      "Name: SLPI, dtype: float64\n",
      "\n",
      "baseMean          533.733950\n",
      "log2FoldChange      2.508518\n",
      "padj                0.027750\n",
      "Name: KRT13, dtype: float64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#gene_set = gene_set_df['AR signaling'].tolist()\n",
    "#gene_set = gene_set_df['SASP upregulated'].tolist()\n",
    "gene_set = gene_set_df['MP19 Epithelial Senescence'].tolist()\n",
    "\n",
    "# Find which genes that 1) belong to a signature (and are Club region-specific markers) \n",
    "# 2) are differentially expressed between NEADT & TRNA\n",
    "\n",
    "# Optional intersect with club region marker genes\n",
    "gene_set = np.intersect1d(marker_genes,gene_set)\n",
    "\n",
    "for g in de_res_signif.index.tolist():\n",
    "    if g in gene_set:\n",
    "        print(de_res_signif.loc[g,['baseMean','log2FoldChange','padj']])\n",
    "        print('')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting an expression heatmap (Figures 5f) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Heatmap: include genes with relevance in terms of relevance to club-like senescence\n",
    "genes = [\n",
    "    'KLK3','KLK2','GNMT','PMEPA1','ABCC4', # AR\n",
    "    'SLPI','CRABP2','IGFBP3','KRT7','KRT13',# EpiSen/club-region markers\n",
    "    'TACSTD2','S100P','WFDC2','LCN2','S100A9','SERPINB1',\n",
    "    ]\n",
    "    \n",
    "plot_df = log2_tpm_normalized_dat[log2_tpm_normalized_dat['treatment'].isin(['TRNA','NEADT','CRPC'])].copy()\n",
    "plot_df = plot_df[genes+['treatment','treatment_detailed']]\n",
    "\n",
    "col_colors1 = plot_df['treatment'].map({'TRNA':'#ff7f0e','NEADT':'#2ca02c','CRPC':'#d62728'})\n",
    "col_colors2 = plot_df['treatment_detailed'].map({\n",
    "    'untreated': '#FFFFFF',\n",
    "    'crpc': '#FFFFFF',\n",
    "    'bicalutamide': '#b3de69',  # Light green\n",
    "    'goserelin': '#66c2a5',  # Medium green\n",
    "    'degarelix': '#238b45',  # Dark green\n",
    "    'degarelix_apalutamide': '#005824'  # Darkest green\n",
    "}\n",
    "\n",
    ")\n",
    "\n",
    "h = sns.clustermap(\n",
    "    plot_df.drop(columns=['treatment','treatment_detailed']).T,\n",
    "               z_score=0,\n",
    "               cmap='bwr',\n",
    "               col_colors=[col_colors1,col_colors2],\n",
    "               col_cluster=True,\n",
    "               row_cluster=False,\n",
    "               linewidth=0.2,\n",
    "               figsize=(10,6),\n",
    "               xticklabels='',\n",
    "               cbar_pos=None,\n",
    "               )\n",
    "\n",
    "plt.savefig('plots/pseudobulk_log2TPM_heatmap_AR_EpiSen.pdf')\n",
    "\n",
    "plot_df = h.data2d.copy()\n",
    "plot_df.columns = plot_df.columns.map(masked_sample_ids)\n",
    "plot_df.to_excel('./source_data/figure_5f.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting an expression violinplot with DEG asterisks (Figure 5i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Violinplot\n",
    "\n",
    "plot_df = log2_tpm_normalized_dat[log2_tpm_normalized_dat['treatment'].isin(['TRNA','NEADT'])].copy()\n",
    "sns.set_theme(style='whitegrid')\n",
    "sns.set_palette(sns.color_palette(['#ff7f0e','#2ca02c']))\n",
    "\n",
    "# Add dividers\n",
    "plot_df[''] = np.nan\n",
    "plot_df[' '] = np.nan\n",
    "plot_df['  '] = np.nan\n",
    "\n",
    "genes = [\n",
    "    'KLK3','KLK2','GNMT','PMEPA1','ABCC4','', # AR-signaling genes\n",
    "    'KRT7','KRT13','CRABP2','IGFBP3','SLPI','  ', # EpiSen markers\n",
    "    'CEBPB','CD68','CXCL1','CXCL2','CXCL8','PLAUR','NFKB1','IL1RN' # NLR-associated\n",
    "    ]\n",
    "\n",
    "plot_df = plot_df[genes + ['treatment']].reset_index().melt(['index','treatment'])\n",
    "plot_df = plot_df.rename(columns={'index':'sample'})\n",
    "plot_df['sample'] = plot_df['sample'].map(masked_sample_ids)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig, ax = plt.subplots(figsize=(8,3))\n",
    "sns.violinplot(plot_df,x='variable',y='value',hue='treatment',split=True,inner=None)\n",
    "\n",
    "ax.set_ylim(0,plot_df['value'].max() + plot_df['value'].max()/2)\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation=20)\n",
    "\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "\n",
    "ax.get_legend().remove()\n",
    "plt.tight_layout()\n",
    "\n",
    "# Set significance markers and place them at the correct location\n",
    "\n",
    "marker_lst = []\n",
    "for g in genes:\n",
    "\n",
    "    try: \n",
    "        padj = de_res.loc[g,'padj']\n",
    "        if padj < 0.001:\n",
    "            marker_lst.append('***')\n",
    "        elif padj < 0.01:\n",
    "            marker_lst.append('**')\n",
    "        elif padj < 0.05:\n",
    "            marker_lst.append('*')\n",
    "        else:\n",
    "            marker_lst.append('')\n",
    "    except:\n",
    "        marker_lst.append('')\n",
    "\n",
    "for i,g in enumerate(genes):\n",
    "    vals = plot_df[plot_df['variable']==g]['value']\n",
    "    ymax = plot_df['value'].max() +2 - (8-vals.mean()) # Place the asterisks approximately on top of the violin\n",
    "    ax.text(x=i,y=ymax,s=marker_lst[i],ha='center',fontdict={'size':15})\n",
    "\n",
    "#plt.savefig('plots/pseudobulk_violin_AR_senescence_NLR.pdf')\n",
    "plt.show()\n",
    "\n",
    "# Save plot source data\n",
    "plot_df.to_excel('./source_data/figure_5i.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot score correlations without overlap (Supplementary figures)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RNNBGjx4NwP54BwCoqqoCcL1FrzuWczr7N7S0qGi12t6m6TSNjY2cFhmj0YiWlhab7o99+/Z1eZ2FCxfirbfewjfffIP77rsPp0+fRnl5OWbMmMHpKnvrrbcgEAjw1VdfITo62ib23//93ygoKOhR7pbXu8lk4sTsFbWW38Pzzz+P5cuX9+genmjUqFFoaWlBZWUlpyi6du0a1Go1QkNDreOJLP8uDz74IJ577rlurx8eHo5z5851eX+g+/dQZ2OObmZ5/Xh6sdrfaEwRcbm77rrLuijahQsXujz3xm++lm/XlplON6qqqkJdXR3Cw8Mdaoruq4iICKSnp0On0+GDDz7o9nzL87I8p84+0CzP1bLQ4+jRo+Hj44Pi4mJO14krWbr/8vPzbZYEAK5/8z1x4gQkEkmnyy/caMKECZBKpaipqbH7B728vBwAXDqjyd7vq7CwECaTqUeDai2GDx+OyZMno6SkBBcvXrSOL7LXdVZVVYUxY8ZwCiKz2Wwdc9YTlqKytraWE7PX4mH5nQ32FgdLt3xeXh4nduDAAZtzACAhIQE8Hs9p/y6JiYkQi8U4ceIEp7XIMqPt5hy6UlxcDAADvnq+p6GiiLhceHg41q5dC4PBgNWrV3fa9HzgwAGb6e133303AGDjxo3WcQzA9W+8r7/+OsxmM+655x6n5GgwGFBRUdGrFXVfeOEFyOVyvP/++9i0aZN1TMGNrl69iieeeMI6TmPSpEkYNWoUCgsLsXv3bptzd+/ejePHjyMqKsraEsXn8/HAAw+goaEBL7/8st3WkmvXrnVbbALX11epqKiwOzj36tWrqKiogEaj6dFzHzlyJDIyMlBTU4PPPvvMJrZhwwao1WrccccdnMHsFRUVqKiosDkmkUhw9913Q6fT4R//+Id1jBEAnDt3Djt27ACfz8fcuXN7lFtX+rpm08aNG9HW1mb9WafTYf369QB+fZ32lKUA+vLLL/H999/D398f2dnZnPNGjBiByspKmy5almWxYcOGHv2+LSyD52+elHDu3Dls3ryZc/6tt96K5ORk/Pzzz/jyyy/tXvPcuXM23YbA9bWrKioq+rV47+o13Ft33XUXhEIhPvvsM5s1nNra2vDee+8BuN4lZREQEIDbb78dJ0+exDvvvGO35e3y5cs9XldIJpNh4cKFUKvVnFbgLVu2oKamBhkZGTZFTkVFhd0vDtXV1fjf//1fAOBM4CC2qPuMuIVHHnkERqMR77zzDu655x4kJSUhPj4eMpkMjY2NOH78OCorKxEfH299zMSJE/HQQw/hgw8+wIIFCzBnzhxIJBLk5eWhvLwckyZNwm9/+1un5FdfX4958+ZhxIgR3XaBWERHR+PDDz/EY489htdffx2bN2/GlClTrNt8nD171loMWWarMAyD119/HStXrsQTTzyB7777DqNHj8alS5fwyy+/QCaT4Y033rBZl2fNmjU4e/Ystm3bhpycHEyePBkhISFoampCVVUVTpw4gSeeeAJjxozpMt/S0lIsX74cqamp+PTTT21izzzzTK/WKQKAl156CUuXLsXLL7+Mw4cPIzo6GiUlJTh69CiioqLsrtcyb948AOB0Kzz++OM4fvw4PvnkExQXF2PixIlobGzEzz//DJ1Ohz/96U+cLtTt27dbW0wsXQ05OTnWImL06NFYvXq19XxLi1Zf1nIZPXo05s+fb7NO0eXLl5GdnY2FCxf26lqzZs2CXC7H5s2bYTAYsGzZMruLUz744IN46aWXsGjRIsyePRt8Ph8nTpxARUUFFAqFdSuX7syYMQNRUVH47rvvUFdXh4SEBNTW1mLv3r2YMWMGfvzxR85j/v73v2PFihV4/vnn8emnnyIxMRHe3t6oq6tDeXk5ysvL8cUXXyAgIMAm396uU9Tb32FXr+HeXisiIgLr1q3Dyy+/jLvvvhvz5s2ztmjX1dVh1apVnDFu//3f/42qqir885//xM6dOzFx4kQEBgbi2rVrqKioQFlZGdavX9/j1ponnngCR48exUcffYQzZ84gISEBFRUV2Lt3LwICAvDSSy/ZnP/DDz9g06ZNSElJQVhYGGQyGa5cuYLc3FzodDpkZWVh1apVPbr3UEVFEXEba9euxW233WbdEPbrr7+GXq+Hn58fxo4di4ceeojzAfPHP/4R48ePx5YtW/DNN9/AaDRi5MiRePzxx7Fq1SqXbx47YcIE/Pjjj9i+fTv27t2L3NxctLe3QywWIzIyEitXrsS9995r80cyMTERX375JTZu3IjDhw8jJycH/v7+mD9/PtasWWMdr2MhEAjwr3/9C99++y127NiB3NxcqNVq+Pv7Izw8HH/4wx9w++23D/RTx8iRI/HVV1/hn//8J/Ly8nDgwAEEBQVh+fLlvd4QVi6X47PPPsP777+P3bt3Y8uWLRCLxZg0aRJWrVqFjIwMzmMKCws509vPnTtnLbhSU1NtPgQt3XCWwqw33nrrLbzzzjvYtWsXrl27hpCQEDz66KNYvXp1r8eoSSQSzJ0719oK09kaR0uXLoVQKMQnn3yCb775BiKRCMnJyXj11VexZ8+eHhdFIpEIH3/8MV5//XUcOnQIZWVluOWWW/D3v/8dvr6+doui0NBQfPXVV9iyZQv27NljnSEXGBiIMWPG4IEHHuh2Idae6O3v0NnXWrZsGUaMGIFNmzbhm2++AcuyiI6OxuOPP263S1Mul+PTTz/Ff/7zH3z33XfYs2cPdDodAgMDERkZieeeew7p6ek9fv7+/v744osv8Pbbb2Pv3r0oLCyEn58f7rrrLrsbwqalpeHSpUs4ffo0Tpw4AY1GA29vb0yaNAkLFy7EwoULnTJmcjBj2BvbogkhZIjavHkz/vKXv2DXrl245ZZbevQYy0rfXQ2YJYR4DhpTRAghAI4dO4bp06f3uCAihAw+1H1GCCFAnzb9JYQMLtRSRAghhBACGlNECCGEEAKAWooIIYQQQgBQUUQIIYQQAoAGWnscs9mMlpYWANd3P6c1JwghhAxFLMtaV/H39/e3WdS2r6go8jAtLS29WvyLEEIIGewOHTpks4J6X1H3GSGEEEIIqKXI44jFYuv/Hzp0CBKJxIXZEEIIIa6h0WisPSc3fjY6gooiD3PjGCKJRMLZZZwQQggZapw1vpa6zwghhBBCQEURIYQQQggAKooIIYQQQgBQUUQIIYQQAoCKIkIIIYQQAFQUEUIIIYQAoKKIEEIIIQQAFUWEEEIIIQCoKCKEEEIIAUBFESGEEEIIACqKCCGEEEIAUFFECCGEEAKAiiJCCCGEEABUFBFCCCGEAAD4rk6AEEIIGSout9Ygr6oA55ouggEwNnAMMiNTEe473NWpEVBRRAghhAyIktrTePPwB1AbNNZjZxou4JeKfDyZ/hDiQmJdmB0BqPuMEEII6XcavQbvF35uUxBZKPUd+KBwG3RGvQsyIzeioogQQgjpZ4W1J9Ggauo0XqOsQ0nt6QHMiNhDRREhhBDSzxq7KIgsGtTdn0P6FxVFhBBCSD+TCWXdniMXSgcgE9IVKooIIYSQfjZxeBxEfGGncblAignD4wYwI2IPFUWEEEJIPwuQDcN9t97Zafy+hDvhK/YZuISIXTQlnxBCCBkAt8Uo4COS4+eKPJxuOA8AiA+Oxawx0zAlYqKLsyMAFUWEEELIgJkamYIpIyehUdUMMECQNAAMw7g6LfJ/qCgihBBCBhCP4SFYHujqNIgdNKaIEEIIIQRUFBFCCCGEAKCiiBBCCCEEABVFhBBCCCEAqCgihBBCCAFARREhhBBCCAAqigghhBBCAFBRRAghhBACgBZvJIQQQrqk1mtwrqkCeqMBI/1GYLh3sKtTIv2EiiJCCCHEDpZl8XNFHr45vRuNmhYAgBfDg2JUOhbHL4C/xLdX1zM01cKoagZfNgyCgOH9kTJxEBVFhBBCiB2/VOThg8KtNsdMrBm/XMxHg7oJf8z4HYRegm6vo6+vQsvBr6A6exhgzQDDg2zsZPhNvQeikMj+Sp/0AY0pIoQQQm6iNmjwzdk9ncZL6s6gtO5Mt9fRN11F7fbXoDpz8HpBBACsGaozh1C3/VXom646K2XiBFQUEUIIITc533QJDaqmLs8prT/b7XU6SvbB1HbNbszU1gBlyd4+5Uf6BxVFhBBCyE0MJmO35xhNhi7jrNkE5am8Ls/pOJkH1mzqVW6k/wz6MUV79uzBBx98gPLycggEAkyaNAlPPvkkYmJiun3s9OnTUVNT02k8PT0dH330kfXnZ599Fjt27LB77qpVq/DMM8/0/gkQQggZcCN9R0DIE0Bv7rzwifQP7/IarMkIs0bZ5TlmjRKs0QhG6NWnPIlzDeqiaPv27XjhhRcQExODp59+GjqdDlu2bMHSpUuxdetWxMbGdvn4P/3pT1CpVJzjO3fuRH5+PqZPn273cW+88Qbn2JgxY/r2JAghhAy4YHkApo+eit0Xcu3G/cW+SAtP6vIaPIEIovCx0F4q6fQcUcRY8IQiR1IlTjRoi6K2tja89tprCA0NxdatWyGXywEAt912G+bPn49XXnkFmzdv7vIaM2fO5Bwzm8146623IBaLsXDhQruP6+w4IYQQz7E4bj4a1c04frXU5ri/2BePT/kt/MQ+3V7DOyG7y6LI+9Ysh/MkzjNoi6K9e/eio6MDK1eutBZEABAWFoY5c+Zgx44dqK2txfDhvVsrIj8/HzU1NVi4cCF8fOy/IViWhUqlgkQigZcXNYkSQogn8hbL8eTU1ThZfxYl9WdgMBkQ6RuOtPBE+PSgIAIA+fip0F+rQtvhbzgx38l3Qh6X6eSsiSMGbVFUUnK9Mk9K4jZvJiUlYceOHSgrK+t1UfTll18CAO69995Oz0lOTkZHRwe8vLwQHx+Phx9+GLNmzerVfQghhLgen+eFCcPjMGF4XJ8ez/C8MExxPySjk6A+dxTGjhbw5X6QxaZBHBkHhqH5Tu5k0BZF9fX1AIDQ0FBOzHKsrq6uV9dsamrCvn37MHr0aCQnJ3PiAQEBWLZsGeLj4+Ht7Y3Kykps2bIFa9euxR//+Ec89NBDfXgmhBBCPBnD8CCNioc0Kt7VqZBuDNqiSKPRAACEQiEnZjmm1Wp7dc2vv/4aBoOh01aiP/7xj5xjS5cuxaJFi/CPf/wD8+fP73XLFCGEEEIGxqBtt5NIJAAAvV7PiVmOicXiXl3zyy+/hFAo7NVAaplMhpUrV8JgMCA/P79X9yOEEELIwBm0RVFISAgA+11klmP2utY6U1BQgMrKSsyaNQvDhg3rVS7h4dfXsmhq6np1VEIIIYS4zqAtihISEgAARUVFnFhxcTEA4NZbb+3x9f7zn/8AABYvXtzrXCorKwEAgYGBvX4sIYQQQgbGoC2KZs6cCZlMhu3bt6Ojo8N6/OrVq9i9ezdSU1Ot43s0Gg0qKipw7Zr9/Wna2tqwZ88eREZGYvLkyXbPUavV0Ol0nOPNzc344IMPIBQKkZlJUy8JIcQdnKo/hw+Ob8UruRvwj8MfIq/yKLRG7t9wMrQM2oHWvr6+WLduHV566SX85je/wZIlS6DX67FlyxYAwPPPP289t7S0FMuXL8eiRYvw2muvca61c+dO6HQ63HPPPWAYxu79qqqq8Nvf/hYzZsxAZGQkfHx8cOnSJXz99ddoa2vDiy++aO3SI4QQ4jrfnPkJn5d+Y3Ps0OXjmHQlAWvTlkMmlLkmMeJyg7YoAq7P/PLz88OHH36Iv/71rxAIBEhOTsbjjz+OsWPH9vg627dvh0AgwF133dXpOYGBgcjIyEBhYSF+/PFHaDQa+Pn5ITk5GQ8++CBSUlKc8ZQIIYQ4oLTuDKcgsii8WoofynOwOH7BwCZF3AbDsizr6iRIz6nVauuClEVFRZBKpS7OiBBCPMd7x7Zg78WDncaHSfzw5tz/hkQoGcCsSF/0x+fhoB1TRAghhNzsqtL+2FGLZk0rmjVtA5QNcTdUFBFCCBkyZIKuW4C8GB4kgt6tYUcGDyqKCCGEDBkTw7peimXqyBQMk/oNTDJDEMuycOdRO1QUEUIIGTKmRCQhLijGbsxbKMdtMdkDm9AQYjab0dHRAaPR6OpUOkVFESGEkCFDJpThD1N+i9tjZ0IuuD4wl2EYTI1IxnPTfo/oYVGuTXCQ0uv1aG9vd+uCCBjkU/IJIYSQm/lJfLBswt1YOG42mtWtkAolCJbRjgP9RaPRQKvVwmw2d7rWn7ugoogQQsiQ5CPyho/I29VpDFosy0KlUkGv17v1OKIbUVFECCGEEKcym81QqVQwGAweUxABVBQRQgghxIlMJpPdAdVN6ha0atvgb/LHqGEjwfdyvxLE/TIihBDi8QwmA/QmAyQCMXgMzekZKvR6PdRqNUwmk/VYm7Ydu8/n4mh1MWQiKYQSIcQCMRbFzUVaeJILs+WioogQQojT1Hc0YG/FQeyvPIpWXRui/SORPWoysqOmQMgXujo90k9YloVarYZer4fZbLYe1xi02Fz0FS60VNqcf6ntCtYf+jeeSl+N1PAJA5tsF6goIoQQ4hRXlfV4PW8japX11mMXmiuv/9dUiYeT74PAS+DCDEl/MBgM1tahm8cPnaov5xREFizLYtfZn5EclgAezz1aE90jC0IIIR7v+3N7bQqiG+VWHkHh1bIBzoj0N41GYx0/ZG9A9dnGC10+/lzTRVS2VvdXer1GRREhhBCHtWjasP/SkS7PKaguGqBsSH9jWRYdHR3QaDQ23WU3M5i6X6xRbzI4MzWHUPcZIcRtXOtowKWWGvB5XogJHA1vkczVKZEeUuo6oDd3/eHWqlUOUDakP5lMJqhUqk5bh24U4h0E2G88BADIBVIM9w5ycoZ9R0URIcTllDoVtp/chV8uHoTRfP2bpZ/IB7ePnYX5MdPdZrwB6Zyv2Adivghao67Tc4ZJ/AYuIdIv7M0u68qk4XHYdzEfBrP9FqMZ0RnwFfs4M0WH0F8aQohLmc1m/Pv4Z9h9Yb+1IAKAVl07Pi35Ct+V73VhdqSnfMXeyB41pctz3G36NekdjUYDlUrV44IIAEK8g/FA4t12B9injpiAO8fNdmaKDqOWIkKIS51qKMeRLsaafHt2D7JHTabtGDzA7TEzcKbhAqrsDJydMyYbE8PiXZAVcZSj23VMGD4eI3xCUFx3CkqdGr4+3ogOHIWE0LFuNxuRiiJCiEuV1Z/tMq7UdeDMtQtIi6BWBncXJA/Ec5m/R+6lwzh4+RiaNW2IHhaJzMhUTI1MgRfPy9Upkl7qzfihrgTJAjArehoYhoG3tzcEAvcqhiyoKCKEuJTJ3H1TfGfjEYj7GSb1w11xt+GuuNtgNJvAp0LIYxkMhl53l3k6KooIIS4V6RfeZZzH8Lo9h7gnKog8l16vh0ql6nK6/WBEA60JIS6VHJaA4fLgTuOZkamI8B0+gBkRMrQN1YIIoKKIEOJiUqEEj05eiWB5ICeWEDIO9yUsdEFWhAxNOp1uyBZEAHWfEULcwJiAKLw281kcqynBxZbL4PP4iA+OQULoOLebnULIYMSyLDQaDbRarUMDqj0dFUWEELcgF8mgGJ0OBdJdnQohQ4rZbIZKpYLBYBjSBRFARREhhBAyZBmNRuuUe0JFESGEEDIkDeUB1Z2hoogQQggZYnQ6HdRqNRVEN6GiiBBCCBlCtFotNBoNFUR2UFFECCGEDBFqtXrIzzDrChVFhBBCyCBnNpuhVqv7vKnrUEFFEXEbrMkITdUpGJqugieWQhKVAL63v6vTIoQQj2YwGKBWq2mGWQ9QUUTcgq62Ao27/w3d1fPWY4xYhmGZS+CTMg8Mw7gwO0II8Uw0fqh3qCgiLmdob0Td13+HqbXe5jirVaHp503giaTwTlS4KDtCCPE8LMtCpVJRd1kv0d5nxOVUZw5xCqIbtR3/HqzJMIAZEUKIY8x6HVizySX3NhqNaG9vp4KoD6iliLic9sqZLuP6ukvQN1RDFDpqgDIihJDeY80mdJw8AGXZfuiqz8FL6gNZ/DR4J06HcNjwAcmB1h9yDBVFxPV68k2GpTc4IcR9sWYTmvZuRnvBd9ZjxvZGtB36GqozhxC6+BkIg0b23/1ZFmq1GjqdjlqHHEDdZ8TlRGExXcYFASMgCAwfoGwIIaT3NJVlNgXRjYwtdWg9/G2/3dtkMkGpVFJB5ARUFBGXk42fCi+ZX6dxn0m3gScQDVxChBDSS6qzR7uMd5zKg771mtPvq9froVQqaYd7J6GiiLic0D8EwYueAt8/1DbA84Jf5hL4TJrtmsQIIaSHjB3NXZ9gNsHc0eK0+1lml3V0dMBkcs2A7sGIxhQRtyCJHI/w3/4VqgsnYGyuBU8kgSR6IoQBYa5OjRBCusWXD+v6BJ4XeHLnLEZrMpmgUqlgNBqpdcjJqCgiboMnksI7LsPVaRBCSK/JxqZBWbSn07g8LhNCv2CH76PX66FWq6l1qJ9Q9xkhhBDiIMmoBPik3m43xvcPhd+UOx26vmV2mUqlooKoH1FLESGEEOIghuEhYMYyiEKioCzLha6mHF4SH8jiMx1ep8hsNkOlUtFg6gFARREhhBDiBAzPC94J2fBOyIbZoAPjxQfD83LomtRdNrCoKCKEEEKczBnLiGg0Gmi1WlqdegBRUUQIIYS4EdrM1XWoKCKEEELcBE23dy2afUYIIYS4AYPBMKhXpzYajbhy5Qra29tdnUqnqKWIEEIIcTGtVguNRjNoxw9dunQJBw4cgFKpBMMwWLVqFcLD3W9PSyqKCCGEEBcZ7Lvbq1QqHDhwABUVFdZjLMvi3LlzVBS5wp49e/DBBx+gvLwcAoEAkyZNwpNPPomYmK53ZgeAr7/+Gs8995zdWFxcHL7++mvO8ZqaGqxfvx4HDx6EWq3GqFGj8MADD2Dx4sUOPxdCCCGDx2Bef4hlWZw6dQqHDh2CXq+3ifF4PIwZM8ZFmXVtUBdF27dvxwsvvICYmBg8/fTT0Ol02LJlC5YuXYqtW7ciNja2R9d55JFHMHr0aJtjfn5+nPPq6uqwZMkSKJVKrFixAuHh4di7dy9eeOEF1NfXY+3atc54WoQQQjyc0Wi0DqgebJqampCTk4O6ujpOzM/PD/Pnz0dkZKQLMuveoC2K2tra8NprryE0NBRbt26FXC4HANx2222YP38+XnnlFWzevLlH10pPT0daWlq3561fvx4NDQ3YsGEDZs++vrP7vffei0ceeQQbN27EwoULERER0fcnRQghxOPp9XqoVKpBN37IaDTi2LFjKCoq4jw3Ho+HSZMmITk5Gf7+ztkYtz8M2tlne/fuRUdHBxYvXmwtiAAgLCwMc+bMwdGjR1FbW9vj61nWjOiMRqPBTz/9hPDwcGtBZLFy5UoYjUbs2rWr90+EEELIoHDj/mWDrSC6cuUKtm7disLCQs5zGz58OJYuXYq0tDTw+e7dFuPe2TmgpKQEAJCUlMSJJSUlYceOHSgrK8Pw4d3vR7NmzRp0dHQAACIjI7F48WKsXLnS5pdbXl4OrVaLCRMm2L0fwzAoLS3t47MhhBDiycxmM9Rq9aBbkFGj0SA/Px/nzp3jxIRCIdLT0xEXFweGYVyQXe8N2qKovr4eABAaGsqJWY7Z6++8kVgsxm233Yb09HQEBQWhvr4e3377Lf72t7+hsLAQ//rXv8Dj8WyuZe9+QqEQ/v7+1pwIIYS4F73JgNLaMzjdeB5m1oRo/ygkh90KiVDi8LUNBgPUavWgGj/EsizOnj2LgwcPQqvVcuK33HILMjIyIJPJXJBd3w3aokij0QC4XpDczHLM3i/yRvPmzcO8efNsji1ZsgRPPfUUvv/+e/z444+YP39+t/cDAJFIZD2HEEKI+2hUt+Cdox/j1LVym+MRPsPx2ORViPTv+9Txwbh/WWtrK3Jzc1FdXc2JeXt7IysrC1FRUQOfmBMM2jFFEsn16t7eOCDLMbFY3OvrMgyD3//+9wCAnJycHt0PAHQ6nfUcQggh7uPT4i85BREAXGmvxTsFn0Bn7Hw8aWfMZjOUSuWgWpDRZDLh+PHj2Lp1K6cgYhgGEyZMwH333eexBREwiFuKQkJCAFzv1oqOjraJddXV1ROWGWTNzc3WY111yen1erS0tCAxMbFP9yOEENI/LjZX4fCVE53GK1urUVx7EmkRE3t8TYPBAJVKBZPJ5IwU3UJtbS1ycnJsPvcsgoKCMH36dAQFBbkgM+catC1FCQkJAICioiJOrLi4GABw66239unaly5dAgAEBgZaj8XExEAkElmvffP9WJa15kQIIcQ9VLZwu4Budqm1+3MstFotOjo6Bk1BpNPpkJubi6+++opTEAkEAmRkZGDx4sWDoiACBnFRNHPmTMhkMmzfvt06cwwArl69it27dyM1NdU680yj0aCiogLXrl2zuUZLSwvnukajEevXr7few0IikWD27Nmorq7Gnj17bB6zadMm8Pl8LFiwwGnPjxBCiOP4Xt13mAiY7s9hWRYdHR1Qq9WDoruMZVlcuHABn332GU6ePMmJR0VF4b777sOECROsE44Gg0Hbfebr64t169bhpZdewm9+8xssWbIEer0eW7ZsAQA8//zz1nNLS0uxfPlyLFq0CK+99pr1+O23345JkyYhJiYGwcHBqK+vxw8//ICKigrMnz8fs2bNsrnnk08+icOHD2PdunU4deqUdUXrnJwcrFmzBiNHjhyYJ08IIaRHxgfdAhFf2OW4ofjQrnc/MJlM1tWpB8N0+/b2duzfvx9VVVWcmFQqxbRp0xAdHe0x0+x7Y9AWRQCwdOlS+Pn54cMPP8Rf//pXCAQCJCcn4/HHH8fYsWO7ffztt9+OgoICHDlyBB0dHZBIJIiNjcWrr76KRYsWcV4QYWFh2LZtG958801s27YNarUaUVFR+POf/4wlS5b019MkhBDSR4GyYbgjdha2n/rebnzayFTEBIy2GwOujxlVq9WDorvMbDajpKQEBQUFMBgMnHh8fDymTJkCkUjkguwGBsMOhrJ2CFGr1dYFKYuKiiCVSl2cESGEeDajyYhvz/6M78/9gg6DGgAg5AkwMzoDi+PnQya0v9aOZXd7d+0uY1kWqkuXoKqsAsPjQT5mDKThI+yee+3aNeTk5KChoYETGzZsGBQKRY8WO+4OwzDw9vaGQCBw+Fr98Xk4qFuKCCGEkO7wvfi4O+42zIieivLGizCbzRg1bCRC5IF2z/eE1al1zS2o/s9/0FpS9utBHg+B6ekYsegO8P+vgNDr9Th69ChKS0s5z8XLywspKSlISkqCl5fXQKbvMlQUEUIIIQD8xD5IDZ/Q5TmesDo1azKhastnUJ45axswm9GYnw+egI+Ie+/BpUuXcODAASiVSs41IiIikJWVBT8/v4FJ2k1QUUQIIYT0gFar9YjFGNvPlXMLohvUHDyMUiEfl+ysSC0Wi5GZmYmYmJhBOZC6O1QUEUIIIV3whO6yG6kqLtk9zgKo9/fD5ZAgmOwURGPHjsXUqVOH9O4LVBQRQgghnfCE7rKbsSy3JUstEuJiWCiUdgYj+/r6QqFQIDy873u8DRZUFBFCCCF2eOpmrrLoX5cQMDEMaoICcDUgACzPtjuMx+Nh4sSJSE5OBp9P5QBARREhhBBiw2w2Q6VSwWAweER32c18YmPgHRuL6uoruDg8FFqRkHPO8OHDoVAoMGzYMBdk6L6oKCKEEEL+j06ng0aj8ejFGHUGAy6NGYXzfO5AaT4YTEmfgoSkpCE5kLo7VBQRQggZ8jxtMLU9LMvi3LlzyM/Ph1ar5cRHhY1A9pzZkMnsL0ZJqCgihBAyxA2GrTpaW1uRm5uLajuzyry9vZGVlYWoqKiBT8zDUFFECCFkSGJZ1rpVh6e2DplMJhQVFeHYsWOcoo5hGCQmJiItLc0p22oMBVQUEUIIGXIGw872tbW1yMnJQXNzMycWFBQEhUKB4OBgF2TmuagoIoQQMqTodDqo1WqPm2pvodPpcPjwYZw8eZITEwgESEtLQ0JCAng8nguy82xUFBFCCBkSPL27jGVZVFRU4MCBA1Cr1Zx4VFQUsrKy4O3t7YLsBgcqigghhAx6RqPRujK1JxZE7e3t2L9/P6qqqjgxqVSKadOmITo6mqbZO4iKIkIIIYOaXq+HSqXyyO4ys9mM0tJSHD16FAaDgRO/9dZbMXnyZIhEIhdkN/hQUUQIIWTQ8tStOgDg2rVryMnJQUNDAyc2bNgwKBQKDB8+3AWZDV5UFBFCCBl0PHn8kF6vR0FBAUpKSji5e3l5ISUlBUlJSfDy8nJRhoMXFUWEEEIGFZZloVKpPHJ16srKSuzfvx9KpZITi4iIQFZWFvz8/AY+sSGCiiJCCCGDhqeuP6RSqZCXl4cLFy5wYmKxGJmZmYiJiaGB1P2MiiJCCCGDgidu18GyLE6dOoVDhw5Br9dz4mPHjsXUqVMhkUhckN3QQ0URIYQQj8ayLDQaDXQ6nUcNqG5qakJOTg7q6uo4MV9fXygUCoSHh7sgs6GLiiJCCCEey2w2Q6VSwWAweEx3mdFoxPHjx3HixAlOEcfj8TBx4kQkJyeDz6eP6IFG/+KEEEI8ksFggEql8qjusurqauTk5KCtrY0TCw0NhUKhQEBAgAsyIwAVRYQQQjyQp+1fptFocPDgQZw9e5YTEwqFSE9PR1xcHA2kdjEqigghZICZNCqozhdAW1kG1mSEMHQ05OOmQOAX4urU3J6nrT/EsizOnTuH/Px8aLVaTnzMmDHIzMyETCZzQXbkZlQUEULIANK31OPajr9DX1thPaY6fRCth79ByKInIB2V6MLs3JunTbdvbW1Fbm4uqqurOTFvb29kZWUhKipq4BMjnaKiiBBCBlDzvk9tCiILVqNEwzf/xIjV68GX+bogM/fmSdPtTSYTioqKcOzYMU6+DMMgMTERqampEAqFLsqQdIaKIkIIGSC6uktQnz3SadykboX6XAF8Js4awKzcm6dNt6+trUVOTg6am5s5saCgICgUCgQHB7sgM9ITVBQRQsgA0TfWAOi620ffeGVgkvEAntRdptPpcPjwYZw8eZITEwgEmDx5Mm699VbweDwXZEd6iooiQggZIDyhqNtzGKF4ADJxf57SXcayLCoqKnDgwAGo1WpOPCoqCllZWfD29nZBdqS3qCgihJABIh4ZBy+fQJjaGzs9Rxo9cQAzcj+etJmrUqnE/v37UVlZyYlJpVJMmzYN0dHR3U6zN5gMEHgJ+ilL0htUFBFCyADxEkvhn7EYjT9stBuXJyggDo8d4Kzch9FotC7GaDYZob16Hvr6KoDhQRQWDVHIKLdYx8dsNqO0tBRHjx6FwWDgxOPj4zFlyhSIRJ23DLZrO1BQU4TCmjI0a1sR5h2C5LAEpIxIhJBPA7BdhYoi0iN6ox6nG8+jQ6dGkGwYYgJGu8UfJ0I8jU/STDBefLQe2QlDQxUAgCf1hc+kOfCbfMeQfV/duBijob0RzbnboK+xXehQcssk+E9dDC+J3EVZAteuXUNOTg4aGho4sWHDhkGhUGD48OFdXqNNq8RHJ77ApdZfx49dbLl8/b/mKiy59Q4qjFyEiiLSrWPVxfi87FvUtP+6aWF8yFgsS1yEUf4jXZgZIZ7JOyEb8vFToau7CNZsgjAwHF5SH1en5RI3L8bImoxozvkc+qvlnHM15wvBeAkRoLh/wPPU6/UoKChASUkJp1vPy8sLKSkpSEpKgpeXV7fXyqs6alMQ3eh4bRligsYgLXyCM9ImvURFEelSad0ZrD/0b5hY26mwJ+vP4m/57+MlxeMIlge6KDtCPBfDFwzprjLA/uwybU253YLIQn3uKLwTFBAGhA1UmqisrMT+/fuhVCo5sfDwcGRnZ8PPz69H19IZdDhaXdzlOSW1p6gochEqikiX9lzYzymILBrUTcivOoa74m4b4KwIIZ6us9lluvrKrh/ImqGvvzQgRZFKpUJeXh4uXLjAiYnFYmRkZCA2NrZXXZ5qowbtOm5xdaNGdUuvcyXOQUUR6VSTuhXHakq7PKf02hkqigghvaLVaqHRaOwvxtiT+oLp37V+WJbFqVOncOjQIej1ek587NixmDp1KiQSSa+vLeVL4C2UQalXdXpOgMSv19clzkFFEemUyWwE281CcwYjd+YFIYTY05Pp9qLQaHTZjsLzgjB0dL/kBwBNTU3Izc1FbW0tJ+br64vs7GxERET0+foigQhp4RPxy8W8Ts9JGD6uz9cnjqGiiHRqmNQf0f6RqGip6vScMQGjBjAjQoinMhgM1u6yrtYfEoeNgSjyVuiqyuzG5XGZEPqHOD0/o9GI48eP48SJE5wWLB6Ph4kTJyI5ORl8vuMfmxmRKTjXWIEr7Vc5scSQcZgYGu/wPdwRwzDw8vJy61W9qSgineLzvDAzOgMVx+0XRV48L2REpgxwVoQQT8KyLLRaLbRabY/2LmN4XhiWtRSth4TQXCi8MQDZ+Az4psxzeo7V1dXIyclBW1sbJxYaGgqFQoGAgACn3c9f4ouHkn+Dw5dP4NjVErSoWxHmE4LUEYlIC58IkaD7lc89CY/HA5/Ph0gkgkAgcOtlJ3pVFC1fvrxPN2EYBp988kmfHktcSzEqHQ2qZuw4s9umK03oJcTvUh7ALdRSRAjphMlkglqthsFg6NXq1HyZLwJnrYQuYTr016oA3vXFG4X+Xa//01sajQYHDx7E2bNnOTGhUIj09HTExcX1y4e4n9gHt8VkY9aYTBiMBogEQvD6eazUQGIYBgzDQCgUQiQSOaWFbSD0KsuCggK7xxmGsfuCtxx356qQdI3H42Fpwh2YHJGE41dL0aFXIVgWiJQRExAkG+bq9AghbsoZe5eJQiIhCol0YlbXsSyLc+fOIT8/H1qtlhMfM2YMMjMzIZPJnH7vm/F5XuALu1/byFNYushEIhGEQqFbd5XZ06ui6OZqWq/X4/HHH8f58+exZs0apKamIigoCA0NDTh69Cjeffdd3HLLLfjHP/7hzJyJC0T5RyDKv++DCwkhQ4NlMUa9Xt+j7rKB1traitzcXFRXV3Ni3t7eyMrKQlRU1MAn5uEYhoFAILAWQ57Kofasf/3rXzh58iS+++47+Pj8uhrriBEjcNddd2H69Om4/fbb8a9//Qt/+MMfHE6WEEKI+zIYDNBoNDaLMboLk8mEoqIiHDt2jNN6xTAMEhMTkZqa6tEf6K7A4/GsxZBA4Pmb2jpUFO3atQuzZ8+2KYhu5Ofnhzlz5mDnzp1UFBFCyCBlNpuh0WjctnWotrYWOTk5aG5u5sSCgoKgUCgQHBzsgsw8l2W8kFgs9pjxQj3h0DO5du1at5WhQCCwu3EeIYQQz6fT6aDRaBwaO9RfdDodDh8+jJMnT3JiAoEAaWlpSEhI8LhxL45gWRaaqlNQV5yAoakGPJEMkqg4SMckgy/z7fbxlm4ysVg8KFqGbuZQURQaGop9+/bhiSeesNvkqNfrsXfvXoSEOH9NCUIIIa7jzl1lLMuioqICBw4cgFqt5sSjoqIwbdq0Tns5BrP2Ez+jvWCnzTH91XKoywsRMPchCLztT6CxDKCWSCSDuovRofL4zjvvRFVVFVasWGHTT2symVBQUIAVK1bgypUrWLRokVOSJYQQ4lpmsxkqlQodHR29nmo/EJRKJb7//nvs3r2bUxBJpVLMnTsX8+fPH5IFkbbmPKcgsjA0XobyxM+c4wzDgM/nQyaTwcfHZ1AXRICDLUWrV6/GqVOnsG/fPixfvhw8Hg++vr5oa2uD2WwGy7KYPn06Vq9e7ax8CSGEuIilq8zy992dmM1mlJaW4ujRozAYuNsPxcfHY8qUKRCJBtfCiL2huVjUZVx99gi8J82GQO4PhmHA4/EgFoshEomGzNI6DhVFAoEA//rXv7Br1y58/fXXOH36NNra2iCXyxEXF4e77roLCxYscFaufbJnzx588MEHKC8vh0AgwKRJk/Dkk08iJiam28fu27cPe/fuRXFxMa5evQqRSITIyEgsXrwYd955J2dw2bPPPosdO3bYvdaqVavwzDPPOOU5EULIQOrrIowD5dq1a8jJybE7fnXYsGFQKBQYPty5Cz96IoOypcs4azaAVbeD5xMAkUgEsVg8pMZbAU7a5uP222/H7bff7oxLOdX27dvxwgsvICYmBk8//TR0Oh22bNmCpUuXYuvWrYiNje3y8S+++CIkEglmzpyJ6Ohoa7Ps888/jz179uC9996zWz2/8cYbnGNjxoxx2vMihJCBwLKsTeuQu9Hr9SgoKEBJSQmnWPPy8kJKSgqSkpLg5TV4Fkd0hJe488UoGb4QfJkvJL4B8PbxGbL/ZoNnHt1N2tra8NprryE0NBRbt26FXC4HANx2222YP38+XnnlFWzevLnLa/ztb3/D5MmTbQqfFStWYNmyZdi/fz8OHDiArKwszuMWLlzo3CdDCCEDzJ0HUgNAZWUl9u/fD6VSyYmFh4cjOzsbfn5+A5+YG5NE3Qr1uSM2xxgvAfhSbwgEAviMiodfmPNXEPckTimKzp49i++++w4VFRXQaDT4+OOPAVzfZK+0tBRTp06Fr2/3U/2cae/evejo6MDKlSutBREAhIWFYc6cOdixYwdqa2u7bFKdMmUK55iXlxfmzp2LwsJCnDt3zm5RxLIsVCoVJBLJkK22CSGeyWw2W7vK3LF1SKVSIS8vDxcuXODExGIxMjIyEBsbO2TGwPSGJHI8pLekQn2+ADyBCF5iKfgCEUQwwssL8EvMdnWKLudwUfTWW2/hvffes755bnwhsiyLp556Cn/605+wbNkyR2/VKyUlJQCApKQkTiwpKQk7duxAWVlZn/qZ6+vrAaDTXZOTk5PR0dEBLy8vxMfH4+GHH8asWbN6fR9CCBko7t5VxrIsTp06hUOHDkGv13PiY8eOxdSpUyGRSFyQnWdgvAQYlrUUkogYGC6VgNdWC55JC8mYJPgkzYIolDb4dqgo+v7777Fx40ZkZGTg6aefxo8//oj333/fGo+IiEB8fDz27ds34EWRpXAJDQ3lxCzH6urqen3duro6fPHFF/D19cWMGTNsYgEBAVi2bBni4+Ph7e2NyspKbNmyBWvXrsUf//hHPPTQQ314JoQQ0r/0er11AUZ37Cprbm5GTk4OamtrOTFfX18oFAqEh4e7IDPPYd2oVSbDsMm3AamzYFK1X28xknq7Oj234VBR9OmnnyIyMhL/+te/IBQK8csvv3DOiY6ORkFBgSO36RONRgMAdtdUsByztztyV1QqFdasWYOOjg5s2LCB01/9xz/+kfOYpUuXYtGiRfjHP/6B+fPn0wwIQojbMBqN0Gq10Ov1blkMGY1GHD9+HCdOnOC0XvF4PEycOBHJycmDapsJZ7PsTSYUCm0/D3lC8HwDXZeYm3Jort25c+eQkZHR5WJOwcHBaGxsdOQ2fWJpQrXXzGo5JhaLe3w9lUqF1atX4/Tp03jxxRd73B0mk8mwcuVKGAwG5Ofn9/h+hBDSXyw72SuVSuh0OrcsiKqrq7F161YcP36cUxCFhoZiyZIlmDx5MhVEdljWGJJIJPDx8YFcLh/0iy46i8Ovpu4GszU2NrpksSzL1iJ1dXWIjo62iVm6zex1rdnT0dGBhx9+GEVFRfif//kfLF26tFe5WJp1m5qaevU4QghxNnfvKtNoNDh48CDOnj3LiQmFQqSnpyMuLo4GUtthKYYsG7UOtTWGnMGhoigyMhJFRZ2vkGk2m1FYWOiSNXoSEhKwbds2FBUVYerUqTax4uJiAMCtt97a7XWUSiUeeughlJaW4uWXX8Y999zT61wqKysBAIGB1FRJCHENd59VxrIsysvLkZeXZ3dow5gxY5CZmQmZrPO1doYqy3ghoVAIkUhExZADHPqXu+2223D69Gls2rTJbvzdd9/F5cuXXbKq9cyZMyGTybB9+3Z0dHRYj1+9ehW7d+9GamqqdXyPRqNBRUUFrl27ZnMNpVKJVatWoaysDK+++mqXBZFarYZOp+Mcb25uxgcffAChUIjMzEwnPTtCCOk5vV4PpVIJvV7vlgVRa2srdu7ciZ9//plTEHl7e2PBggWYO3cuFUQ3sLQKiUQiyOVy+Pj4QCKRUEHkIIdailasWIHdu3fjr3/9K3788Udrc+brr7+O48eP4+TJk0hMTMSSJUuckmxv+Pr6Yt26dXjppZfwm9/8BkuWLIFer8eWLVsAAM8//7z13NLSUixfvhyLFi3Ca6+9Zj3+4IMP4uTJk5gxYwYYhsG3335rc4/Y2FiMHTsWAFBVVYXf/va3mDFjBiIjI+Hj44NLly7h66+/RltbG1588UVrlx4hhAwEy9ghdy2GTCYTioqKbDYUt2AYBomJiUhNTaXxMDe4sVVIKBTSWnhO5lBRJBaLsXnzZrzyyivYtWuX9UX90Ucfgcfj4Y477sCLL77osoFwS5cuhZ+fHz788EP89a9/hUAgQHJyMh5//HFrMdOVkydPAri+EOTevXs58bVr11qvExgYiIyMDBQWFuLHH3+ERqOBn58fkpOT8eCDDyIlJcW5T44QQrpgMBigVqvdduxQbW0tcnJy0NzczIkFBQVBoVAgODjYBZm5J8tYIaFQCIFA4Op0Bi2GddK7pbW1FWVlZWhtbYW3tzcSEhIwbNgwZ1ya3ECtVlsXpCwqKoJUKnVxRoQQd8KyLDQaDXQ6nVu2Dul0Ohw+fNj6pfNGAoEAaWlpSEhIoG4gXG8VYhjGOnCaWoVs9cfnodOacPz8/GjMDCGEuJDRaIRarXbL/cpYlkVFRQUOHDgAtVrNiUdFRSErKwve3rSQIADreCGaRTawHPqXHjduHN55550uz9m4cSPGjx/vyG0IIYR04cZ1hwwGg9sVREqlEt9//z12797NKYikUinmzp2L+fPnU0GE68WQWCyGr68vpFIpFUQDzKGWIpZle/Tmc7c3KCGEDBbuvO6Q2WxGaWkpjh49CoPBwInHx8djypQpLlnLzt1YVp6mjcRdq99HQLe3t9MLnhBCnMyy7pC7btHR0NCAffv2oaGhgRMbNmwYFAoFbXuEX4shsVhMq3O7gV7/Bo4dO2bzc01NDecYcH2qZW1tLXbt2oVRo2jnXUIIcRatVgutVsuZxu4ODAYDjh49ipKSEk6x5uXlhZSUFCQlJQ351hCGYazFEM0mcx+9LoqWLVtmXY+IYRh88803+Oabb+yey7IseDwennnmGYeSJISQ/tKgasKhy4U403AeJtaMW4ZFYWpkCkb49GwboIFkNBqh0WjcctwQcH31/v3790OpVHJi4eHhyM7O5mykPdRQMeTeel0U/f73vwfDMGBZFu+88w5SU1ORmprKOY/H48HPzw9paWmcvccIIcQdVDRXYv3BD9Cg/nVfwpK60/jxQi4en/JbJIa6xyQRd59mr1KpkJeXhwsXLnBiYrEYGRkZiI2NHdL7lTEMAz6fD7FYTItRurFeF0WPPvqo9f937NiBmTNnYvny5U5NihBC+pvJbMJHJ/5jUxBZqPRqbCz4FH+f8yJkIteuBebOA6lZlsWpU6dw+PBhu9scjR07FlOnToVEInFBdu7BsgK1RCKhYsgDODSqa9++fc7KgxBCBtTpa+dR3nSp03izphXHa8uQFZU2gFn9ymw2Q6PRuO0WHc3NzcjJyUFtbS0n5uvri+zsbERERLggM/dg2ZvMUgwN5VYyT0JD3QkhQ1KdijsrinNOx7Vuz+kPOp3O2jrkboxGI44fP44TJ05wijUej4eJEyciOTl5yM6kshRDYrEYIpGIiiEP4/CrlmVZ7N69G/n5+aivr4der+ecwzAMPvnkE0dvRQghTiPli7s9RyYY2G4fg8EAjUbjlitSA0B1dTVyc3PR2trKiYWGhkKhUCAgIGDgE3MDlm4ykUhExZAHc6go0uv1ePjhh1FQUACWZa0DsC0sP9OLgxDibhJCxsFX5I02HXemFAB4MTxMHB4/ILlY1hwyGAxu2VWm0Whw8OBBnD17lhMTCoVIT09HXFzckPtbb9mbTCAQQCAQUDfZIODQ+uHvv/8+jh49it/97nc4cuQIWJbF2rVrkZeXh7///e8YPnw45s+fb3fjP0IIcSVvsRxLbr2j0/hd429D2ABMy9fpdGhvb3fZzLIGVTMut9agXdvBibEsi7Nnz+Kzzz6zWxCNGTMG999/P+Lj44dUMWDZl0wmk8HX1xdyuZxahwYJh1qKfvrpJ4wfPx6PPfaYzfGgoCDMnz8fCQkJWLhwIT755BOsWrXKoUQJIcTZZkZnQMIXYff5XJxruggAGOkbhjljsjBjdEa/3tvVaw5VtVRj36VDKKk7DRYsxHwxUkckYkZ0BvzEPmhtbcX+/ftx5coVzmO9vb0xbdq0Ibcw74071g/VMVODnUO/1cuXL2Px4sXWnxmGgdFotP4cERGB7Oxs7Nixg4oiQohbmhqZgikRk3BVeQ1m1oTh3sEQePXfonrusObQldYavH/8M3QYft2cVWvU4kDVUVxprUEaPx7FJ4o5A70ZhkFCQgLS0tKG1PRyWnBx6HCoKOLz+Tb7mslkMjQ3N9ucExYWRlP3CSFujcfjIdy3/7vK9Ho91Go1zGazSwdSH6gqsCmILMRaPkxXVCg0FHJiQUFBUCgUCA4OHogU3YJlXzKRSETF0BDhUFEUGhqK+vp6689RUVEoLi62OefMmTPw9fV15DaEEOLRTCaTdc0hV88qa9Mqcbym1OYYz8wgoFkG33YxGNiOixEIBEhLS0NCQgJ4PIeGoXoMy5ghkUg05PdoG2ocKoomTpyIQ4cOWX+eOXMm/vGPf+D555/HrFmzcPToURw6dAgLFixwOFFCCPE0LMtaN291l1llOqMOZvxfLiwgVwkR1CQH38T98I+KisK0adPg4+MzwFm6Bo/Hg1AohEQiGTIFILHlUFG0YMEC1NbWorq6GuHh4VixYgX27t2Lr776Cl9//TVYlkVkZCSefvppZ+VLCCEewV3XHPIVeSNA4oc2ZTuCGuWQq0WccxgBD3NmzEZ0dPSQmFFFA6iJhUO//bS0NKSl/boEvkQiwdatW7F3715UVVUhPDwcCoViSO97QwgZWixdZe665pDAS4AY40hcu3IVPJZb8LR5a3D7jAUYEz7GBdkNLBozRG7m9JKYz+djzpw5zr4sIYS4NbPZDK1W67Y72QNAQ0MDcnJy0HjtGng3jR3SCYy4FqTErMRsJISPc1GG/c+y4KKlZYjGDJEbUTshIYQ4gGVZ6HQ667ghd+oqszAYDDh69ChKSkq4+TEAb4QYEaOH446w8bglcPCtPWQphPh8PoRCIQQCAY0ZInb1qij65ptvAFwfUC2Xy60/98Sdd97Zm1sRQohb6+9iyKhqg+ZiCfQNl8HwGIiG3wJJ1K3giXo3HKGyshL79++HUsndziQ8PBzZ2dnw8/NzUtbuxbI5q0gkglAopFYh0q1eFUXPPvssGIZBYmIi5HK59eeuWPY+o6KIEDIYDETLkK7uIhp//gjmjhbrMdWZwxAEjcSwWSsh9A2y+zizUQ9N5UloKsug6uhAiVKAy23cTbrFYjEyMjIQGxs7KAdS0+aspK96VRT95S9/AcMwCAq6/oZ89dVX+yUpQghxR3q9Hlqttl9nlJl1GjTv3WJTEFkYGi6j9dAOBN+2mvs4vRbN+7dCfb4QVawvTrPBMICbY2xsLDIyMgblBBhLMSQWi2lzVtInvSqK7rrrLpufFy1a5NRkCCHEHVl2sR+IxRc1VadgbL/WaVxXWQpdfSVEIVE2x5Wn8lF/vgwl5pFohpTzOG+pGNNnzUFERISzU3Y5SzeZWCymliHiEBpoTQghnXDFjDJ9y9VuzzE019oURXqNGscKi3DOPArsTbPKGLAYwzQhMTwKoYOwILIUQ2KxmIoh4jCHht+fPHkSb7/9NhobG+3GGxoa8Pbbb+PMmTOO3IYQQgaUZSXq9vb2AV+NmteDzWgZ/q+bsVZXV+OL7dtxVivhFET+UCObdwnjeY1gW+ucnqsrWYohX19fSCQSKoiIUzjUUvTRRx+hsLAQv//97+3GAwMD8dVXX+Hy5ct44403HLkVIUOCUdkMVfkxmDpa4CX3hywmGXzvAFenNWSwLGsdN2QymVwyvV4cMQ7tx77vNM6IZBCFxUCj0eDgwYM4e/Ys5xw+TBjPNCCKaYWlVvASy/or5QFlWXCRVp8m/cGhV1RRURHS0tI6rdAZhsHkyZNx7NgxR25DyJCgLM1F408fgtX/unt5874tCJi9Cj6JChdmNjQMxCDqnhCFREE2Lh2qM4fsxr2TZuLClRrk5+dDq9Vy4mFMO25l6iFmTDbHJVHx/ZLvQLCMGbKsPk3FEOkvDr2yGhsbERoa2uU5wcHBaGhocOQ2hAx6mkulaPjuHYC17aZh9Wo0fv8v8L39IR09wTXJDWIsy8JgMECn08FgMLjNwot+6XeBJ/VFx6kDYLUqAADPJwC4ZSpyqlSorv6F8xiZVIJbzTUIMXAHaQuCoyAZk9zveTsbj8ezLrhIs8nIQHCoKJJIJGhubu7ynObmZgiFwi7PIWSoay/J4RREVqwZytIcKoqcyGw2Q6fTQa/Xu6ybrCs8oRh+qfMhj5sGQ3MNzCxwurYVxwuLYDLZtgAxDIOEhITr+1C21aO9ZC80F04ArBmMQAxZbCrkSbPAl3q76Nn0jqVVyFIIUasQGUgOvdrGjh2LvXv34tlnn4VMxu2v7ujowN69ezF27FhHbkPIoMYaDVCf77qLWV1+HGaDDjwBd0dz0nNmsxkajcY6td7diqGb8WXeaFT6IScnB01NTZx4UFAQFAoFgoOD/+9ABAJnPghD6u1gtWrwZL7gy3wGOOu+sbQKWTZnpVYh4goOzT5bsmQJmpubsWrVKs5gv7Nnz2LVqlVoaWnBkiVLHEqSkEGNARheN9sP8HgAfUj0mb3ZZO5eEOl0Ouzfvx9ffvklpyDi8/mYOnUqFi9e/GtBdAOBTwCEwRFuXxDduL6Qt7c3vL293bKbrF2rRKOqCQaTwdWpkH7mUEvRvHnzcODAAXzzzTdYtGgRAgICEBISgvr6ejQ1NYFlWdx5551YsGCBs/IlZNBhvASQjZsMZRF3nIiFbFw6eHzqhu4LvV4PjUbjlt1k9rAsi4qKChw4cABqtZoTj4yMRFZWFnx83Lvg6Yplg1aRSASxWOy2m7NeaKrEngv7kVdVABNrRoRPGGZET8XM6EwIe7B0AvE8DnfWvvbaa0hKSsKWLVtw/vx565pFt9xyC5YvX47Fixc7nCQhg508YTo6yvLAGnWcGOMlhHcCzT7rLXeZTdYbSqUS+/fvR2VlJScmlUqRmZmJMWPGuF1LSk95SjEEAGcbLuD1/I1Q3TAb9Er7VXxctB1X2q7ioUm/gVd3LbzE4zhlBNuSJUuwZMkSaDQatLe3w8fHZ1Duq0NIf5GExyL4rifR9PPHMLbUWo/z/UMRMPNBSCJoXF5PeWIxZDabUVZWhiNHjsBg4HbRxMXFIT09HSKRZ44pu3GDVqFQ6NbFEHC9te7r07ttCqIb7b14EJMjJiIxdPwAZ0b6m1OH9UskEiqGCOkj2S3JkETGQXOpFMaOFnjJ/CAdnQiekN5TPaHX691uan1PNDQ0ICcnB9eucafSDxs2DAqFAsOHD3dBZo5jGMa6tpAnDZ6uaq1Gcd2pLs85XlNKRdEg5JSiSKPRYM+ePThz5gza29vh7e2N8ePHY9asWZBKuRsTEkLs4wklkMWmuToNj2IwGKDVaj2uGDIYDCgoKEBxcTEnby8vLyQnJ2PixInw8vK8LpobiyFPXJKlo5MWohspdR0DkAkZaA4XRfv378czzzyDtrY2mzc2wzB49dVX8eqrr0KhoPEQhBDnMhqN1mJoIPcmc4bKykrs378fSqWSEwsPD0d2djb8/PwGPjEHMQwDPp8PsVjskcWQRaB0GLwYHkydrR0GIEhG2+8MRg4VRadOncLatWthNptx++23Y/LkyQgKCkJDQwOOHDmC77//Ho899hi2bt2K+HjPXWKeEOI+PLkYUqlUyM/Px/nz5zkxsViMjIwMxMbGekw3k8VgKYYsQr2DkBGZgv2VR+3GGTCYHJ40wFmRgeBQUfTuu++CYRh89tlnmDBhgk3srrvuwv33349ly5bhvffew4YNGxy5FSFkCDObzTAYDNDr9TAajR5XDLEsi1OnTuHw4cPQ6bgzDGNjY5GRkeFxYzItA6glEsmgKIZudNf4ebjYcgVX2q5yYssn3I3ogKiBT4r0O4eKouPHj2Pu3LmcgsgiMTERc+bMQX5+viO3IYQMUTfvS+ZJY4YsmpubkZOTg9raWk7M19cX2dnZiIiIcEFmfWcphiwtQ57WstUTw72D8XzWozhYdQwnak9CpVdjlF8EpkamICF0nKvTI/3EoaJIqVR2OysiLCwMHR00II0Q0nOeOpPsRkajEYWFhSgsLOS0bPF4PCQlJSElJcWj9va6cQVqkUg0KIuhGw2T+OH2sbNw+9hZrk6FDBCH3o3BwcEoLS3t8pyTJ08iKCjIkdsQQoYIT1xjyJ7q6mrk5uaitbWVEwsNDYVCoUBAgGcN1LWsMyQWiwd9MUSGLoeKoqysLGzbtg3vv/8+fvvb39pMHTWbzfj4449x6NAhLF261OFECSGDl9lshlqttm7U6qk0Gg0OHTqEM2fOcGJCoRDp6emIi4vzqKLCsmO9RCJx+0UXCXGUQ0XRmjVr8Msvv+DNN9/Etm3bkJycjKCgIDQ2NqKwsBA1NTUIDAzE7373O2flSwgZRFiWhU6ng0aj8bjB0zdiWRbl5eXIy8uDVqvlxKOjo5GZmQm5XO6C7PrGstaQRCLxqC4+Qhzh0Cs9KCgIW7duxUsvvYSDBw9i586dNvGpU6fif/7nf+zu4kwIGbpMJhN0Oh30er1H7Fjflba2NuTm5uLKlSucmFwuR1ZWFkaNGuWCzPrOMm6IusrIUONw+R8eHo4PP/wQ9fX1OH36NJRKpXVF65CQEGfkSAgZBFiWtU6r98Q1hm5mMplQXFyMgoICmEwmmxjDMEhISEBaWppHTVW3rDcklUqpdYgMSU571YeEhFARRAjhGEytQhZ1dXXIyclBU1MTJxYUFASFQuFxLeQ8Hg8ikQgSiYRah8iQ1S9fBSoqKpCXlwexWIz58+fD29u7P25DCHFjer1+0LQKWeh0Ohw5cgRlZWWcGJ/PR1paGhITEz1qQDKNHSLkVw69A95++21s27YN3333nXWfnkOHDuGRRx6BwWAAAHzwwQfYvn07/P39HU62L/bs2YMPPvgA5eXlEAgEmDRpEp588knExMT06PEajQbvvPMOfvjhB1y7dg3BwcGYP38+1qxZY3f12ZqaGqxfvx4HDx6EWq3GqFGj8MADD2Dx4sXOfmqEuB2z2WxdY8hkMg2KViHgetdfRUUFDhw4ALWau1loZGQksrKy4OPj44Ls+say5pBEIoFIJHJ1OoS4BYeKory8PIwaNcpm48K///3vYBgGjz76KBobG/H5559j8+bN+MMf/uBorr22fft2vPDCC4iJicHTTz8NnU6HLVu2YOnSpdi6dStiY2O7fLzJZMLq1atRUFCAhQsXIiUlBWfPnsWHH36I0tJSfPTRRzbfCOvq6rBkyRIolUqsWLEC4eHh2Lt3L1544QXU19dj7dq1/f2UCXEJk8kErVZrnVI/WIoh4PoitQcOHMClS5c4MalUiszMTIwZM8ajupyoq4wQ+xwqimpqajBz5kzrz/X19Th16hRWrlyJNWvWAAAuXryIX375ZcCLora2Nrz22msIDQ3F1q1brVNhb7vtNsyfPx+vvPIKNm/e3OU1duzYgYKCAixbtgwvvPCC9fiIESPw+uuvY+fOnbjzzjutx9evX4+GhgZs2LABs2fPBgDce++9eOSRR7Bx40YsXLjQ45bzJ6Qrg7GLzMJsNqOsrAxHjhyxtnzfKC4uDunp6R7VykJdZYR0zaGO77a2Nvj6+lp/LiwsBMMwyM7Oth6Li4uzu+dPf9u7dy86OjqwePFim7VBwsLCMGfOHBw9erTbvL799lsAwMqVK22O33fffRCLxfjmm2+sxzQaDX766SeEh4dbCyKLlStXwmg0YteuXQ4+K0Jcz7K2UHt7Ozo6OqDT6QZdQdTQ0IAvv/wSeXl5nIJo2LBhuPvuu6FQKDymILLMKpPL5fD29qaCiJBOOPTOGDZsGK5du2b9+ejRo+Dz+UhMTLQec9U3yJKSEgBAUlISJ5aUlIQdO3agrKys073bWJZFWVkZgoODMWLECJuYWCzGuHHjbAZblpeXQ6vV2t0cNykpCQzDdLslCiHuzGw2Q6fTWYugwdRFZmEwGFBQUIDi4mLO8/Py8kJKSgqSkpJsVu93d7TmECE951BRNG7cOOzbtw/l5eUQiUT48ccfMWnSJIjFYus5NTU1Ltn7rL6+HsD1fYZuZjlWV1fX6eNbW1uh0Whwyy232I2HhISgqKgIHR0dkMvl1mvZu59QKIS/v781J0I8iWVKvU6nG3TjhW5UVVWF3NxcKJVKTmzEiBHIzs522YSRvmAYxro9hycVcYS4kkNF0UMPPYTly5dj4cKF1mM3djWZTCacOHEC6enpjtymTzQaDQDYXTjNcszecvwWllhnC69Zms01Gg3kcnmX97OcbzmHEE9gNBqh1WoH5XihG6lUKuTn5+P8+fOcmFgsxtSpUzF27FiPaWVhGAZeXl6QSCQetXAkIe7AoaIoOTkZ7777LrZv3w6GYXD77bcjKyvLGi8qKkJISAhmzZrlcKK9ZZkur9frOTHLsRtbtG5midl7PHB9vZIb79PV/Szne9K3TDJ0eVoxpKu7BHVFEYxtDeCJpBBHjock8lbwBF0XBCzL4tSpUzh8+LD1/Xyj2NhYZGRk2F16w13R5q2EOMbh0XbTpk3DtGnT7MaSk5NtBiMPJMvq2nV1dYiOjraJddXVZeHn5weJRNJpF1t9fT3kcrl1EHdXXXJ6vR4tLS02Y60IcTeeVgwBgLJsP1rzvwTwa5eeuvwoxFEJGKZ4AF5iqd3HNTc3Iycnx+5kC19fX2RnZ/dppqjZoIdZrwFPKOm2KHM2Pp9PrUOEOKjfpiC0tbVBIBBAKrX/R6m/JSQkYNu2bSgqKsLUqVNtYsXFxQCAW2+9tdPHMwyD+Ph4HDt2DDU1NTaDrbVaLc6cOWMziDsmJgYikch67Zvvx7IsEhISHHtShPQDlmWhVqut23B4Cm3tRU5BZI1VlkJZmgO/1Pk2x41GI44fP44TJ05wniuPx0NSUhJSUlJ6PTvLqGpHx6l8qM4dhrmjBTyZP6SxafCOzwRf5tv9BRxgGTsklUqpdYgQBzn0Djp8+DDeeOMNtLW1WY81NTXhgQcewOTJk5GamopXX33V4ST7YubMmZDJZNi+fTs6Ojqsx69evYrdu3cjNTXVOvNMo9GgoqLCZiYdAOtYqY8++sjm+NatW6HVam3GUkkkEsyePRvV1dXYs2ePzfmbNm0Cn8/HggULnPocCXGUXq9HW1ubR06r15w/DnsFkYXqzGGYtL+uPl1dXY1t27bh+PHjnOcaGhqKJUuWYMqUKb0viNRKNP38AZSFP8Dc0QIAMKta0HFiN5p++gBGVVs3V+g7Ho8HqVQKuVxOBREhTuBQS9Gnn36K8+fPY926ddZjr7/+Oo4fP47IyEioVCps3rwZiYmJmDdvnsPJ9oavry/WrVuHl156Cb/5zW+wZMkS6PV6bNmyBQDw/PPPW88tLS3F8uXLsWjRIrz22mvW43fddRe++eYbfPrpp1AqlUhOTsa5c+fw+eefIzU1FXfccYfNPZ988kkcPnwY69atw6lTp6wrWufk5GDNmjUYOXLkwDx5QrpgMplgMBis/3nqbDJD27Uu42Z1K0wdLdCzDA4dOoQzZ85wzhEKhUhPT0dcXFyfB1Krzh6Gvvai3Zi+/hJUZw/Dd9LcPl27M5bB1DKZjNYcIsSJHHo3nT17FqmpqdaftVotfvrpJ0ydOhUffvghOjo6cMcdd2Dbtm0DXhQBwNKlS+Hn54cPP/wQf/3rXyEQCJCcnIzHH38cY8eO7fbxXl5eeP/99/HOO+/gxx9/xPfff4+goCCsXLkSv//97znTXMPCwrBt2za8+eab2LZtG9RqNaKiovDnP/8ZS5Ys6a+nSUi3LGsMGQwG655knloMWTCCrhdOZFkG56trcfj4j3ZnmkZHRyMzM9NmcdfeYlkWmguFXZ6jOncMPkmzwPCcMy3e0l0mk8k8ZkYcIZ7CoaKoubkZwcHB1p9LSkqg0+mwaNEiAIBcLkd2djZ+/vlnx7J0wNy5czF3btff0tLS0nDu3Dm7MZlMhnXr1tm0hnUlIiIC69ev73WehPSHwbwnmSQyDtpLJXZjKlaAMvEtqM8/wonJ5XJkZWVh1KhRDufAmgwwtjd2eY5J2QTWqAcjdHwWm6W7zFNW0ibE0zhUFAmFQptvYMePHwfDMEhJSbEek8vlNmOOCCH9z2w2Q61We9RMst6SjJoA1blj0Nf+ur6QmQUusMNwjg2EWW37vBmGQUJCAtLS0pw2Q4vHF0LgHwb9Ne5msRaCYcO7bdXqjmWbDplMRgsxEtKPHCqKwsPDceTIr9/E9uzZg8jISOt0eACora2l9XkIGSCWfcm0Wi1MJpOr0+lXXmIpAmY9CGXRz1CdPYomPYsScyjawV1/LCgoCAqFwqZl21mkMcldFkXS2FQwTN8HQdM2HYQMHIeKojvvvBN/+ctfsHjxYggEApSXl+P3v/+9zTnnzp1zSjM1IaRrRqMRarUaRqNxUHWTdYUv84Us9Q4Ua31x6iy3C5zP5yMtLQ2JiYn9NjtLFpsG3dUL0Fws4sTEUQmQj53cp+vSjvaEDDyH3mm/+c1vUFJSgh9++AEsy0KhUGD16tXWeHl5OcrLy/HYY485nCghxL6h0FXWmYqKChw4cAAqlYoTi4yMRFZWFnx8fPo1B55QjGGK+6GOGAtVRRGMrfXg+4ZANnoCpDHJ4Ak7XznfHoZhbFqHCCEDh2Gd8JXSsg7QzbM4mpubce3aNYwYMQLe3t6O3oYAUKvV1kUji4qKXLY4JnE9lmWh1Wqh1WqHXDGkVCpx4MABXLrE7baSSqXIzMzEmDFjPK67icfjQSQSQSwW07pDhHSjPz4PndIm29mU1mHDhmHYsGHOuAUh5P/cOG7IbDYPma4y4HqrWFlZGY4cOQKDwcCJx8XFYcqUKR7XwsLj8axdZTSQmhDXoY5qQjyE2Wy2Tq8fasUQADQ0NCAnJ4ez8jxw/QtYdnY2wsLCXJCZY7y8vCCVSmnPMkLcgMNFkVqtxueff478/HzU19fb3SWeYRj88ssvjt6KkCHJaDRCp9MNyrWGesJgMODo0aMoKSnhPHcvLy8kJydj4sSJHtfCQnuWEeJ+HCqK2tvbcd999+HChQuQy+Xo6OiAt7c3DAaDdf2i4OBgmjlBSB8YDAbrKtRDbcyQRVVVFXJzc6FUKjmxESNGIDs72+OW/KCB1IS4L4e+nmzcuBEXLlzAK6+8gmPHjgEAVqxYgaKiImzbtg3jx4/HyJEj8eOPPzolWUIGO8t4ofb2diiVSo/cqNUZVCoVfvrpJ+zatYtTEIlEIsyYMQN33nmnxxVEloHUPj4+VBAR4oYcasLZt28fUlJScPfdd9scZxgGEyZMwL///W/cfvvt2LhxIx5//HFHbkXIoGbZm8xSBA21LjILlmVx+vRpHDp0CDqdjhOPjY1FRkYGJBLHt8wYSDSQmhDP4FBRVFtbC4VCYf2Zx+PZzAgJCAjAtGnT8MMPP1BRRIgdN3aRDcXxQjdqbm5GTk4OamtrOTFfX19kZ2cjIiLCBZn1nWU3e4lEQgOpCfEADhVFEonEZh0Qb29vNDQ02JwTEBCA+vp6R25DyKDCsiz0ej10Ot2QWn26M0ajEYWFhSgsLOR0FfJ4PCQlJSElJcXjxibyeDzrQGpPWy+JkKHKob8yoaGhqKurs/4cHR2N48ePw2w2W2dTFBYWIjAw0LEsCfFwLMvCYDBAr9dTq9ANqqurkZubi9bWVk4sNDQUCoUCAQEBA5+YA6h1iBDP5VBRlJKSgt27d4NlWTAMg3nz5uHll1/Gww8/jOnTp1un0f7mN79xVr6EeBSj0Qi9Xj9k1xbqjEajwaFDh3DmzBlOTCgUYsqUKYiPj/e4FhaaZk+IZ3OoKFq0aBEMBgPq6uowfPhwLF26FEeOHMEvv/yCgwcPAgAmTpxI44nIkGI2m62FkMlkGpKzxzrDsizKy8uRl5dnXbbjRtHR0cjMzOx0lXx3RoswEuL5nLL32c1OnjyJy5cvY8SIEbj11lvpG5MT0d5n7osGTXetra0Nubm5uHLlCicml8uRlZWFUaNGuSAzx1hmllHrECEDy233PrtZfHw84uPj++PShLgVGjTdPZPJhOLiYhQUFMBkMtnEGIZBQkIC0tLSPK6FhWEY8Pl8SCQSCAQCV6dDCHECz5rOQYibsHSRDcVNWXujrq4OOTk5aGpq4sSCgoKgUCgQHBzsgswcYymGelPIXVM14sy1CzCzLMYERCLC1/P2aSNksKOiiJBeMJlM1n3IqBjqnF6vx+HDh1FWVsaJ8fl8pKWlITEx0eO6m/oykFpr1OHLU9/jx/JcGMwG63Wyo6bgvoQ74Sv27s+UCSG9QEURIT1gNBqh1WqH9D5kPVVRUYEDBw5ApVJxYpGRkcjKyoKPj48LMnMMj8eDRCLp9fYc209+j13nfrY5xrIsci4dgsagwePpD4HHeFZxSMhgRUURIV2wzCKjYqh7SqUSBw4cwKVLlzgxqVSKzMxMjBkzxuOm2QPXW7ekUmmvxw7VdzTgx/M5ncaPVBfhXEMFxgXf4miKhBAnoKKIkJtYFlrUarU0eLoHzGYzysrKcOTIEZttfizi4uKQnp4OkUjkguwc4+i6Q6evnYfRbOzynFPXyqkoIsRNUFFEyP+x7FCv0+lgMpmoGOqBhoYG5OTk4Nq1a5yYv78/FAoFwsI8c0CxM9YdMrPdty6a6XVGiNsYkKKovLwcMTExA3ErQnqNdqjvPYPBgIKCAhQXF3P+vXg8HlJSUjBx4kSP3BHematSRw+LBAMGLDp/TUUPi3ToHoQQ5+nXoujy5ct46623sHv3bpw6dao/b0VIr5lMJmi1Wuj1elpssReqqqqQm5sLpVLJiY0YMQLZ2dnw9/d3QWaO6+tg6s5E+UcgMzIVB6qO2o3HBIxGYug4p9yLEOK4PhdFx48fR1lZGfh8PiZNmoTx48dbYw0NDdiwYQO+/vprGI1Gj1yHhAxeN648TYOne06lUiE/Px/nz5/nxEQiETIyMjB27FiPHEht2cRVJpOBz3fud8X7ExdBbdDg+NVSm+MxAaOxJm05+F40ioEQd9Hrd6PRaMSjjz6K3Nxcm+O//e1v8fTTT+Pbb7/F//t//w9qtRqBgYF4+OGHaUNY4hYsK09btuEgPcOyLE6fPo1Dhw5Bp9Nx4rGxscjIyIBEInFBdo6zdJfJZLJ+Kej8Jb54eup/4XTDeZxuOA8Ta0LMsNFICB0LgRethE2IO+l1UfTZZ58hJycHEokEqampAICCggJ8+OGHkEgkePvttyGTyfDUU09h2bJlTmuGJqQvaBsOxzQ3NyMnJwe1tbWcmK+vL7KzsxEREeGCzJxjoDZx5fF4iA+JRXxIbL/ehxDimF4XRT/88ANkMhm++eYb6x/Dixcv4u6778bbb7+NsWPH4v3330dQUJDTkyWkp2gmmWOMRiMKCwtRWFjI6WLk8XhISkpCSkqK07uaBoozB1MTQgaPXv9Fq6iowOzZs22+HY4ePRqzZ8/Gzp078f/+3/+jgoi4jNlstg6epplkfVNdXY3c3Fy0trZyYiEhIVAoFAgMDBz4xJxkoFqHCCGep9dFkUqlwvDhwznHLWuRjB071vGsCOkllmWh1WppWr0DNBoNDh06hDNnznBiAgEfk1OSkZA0ySMHUgO/7movk8k8cqkAQkj/63VRxLKs3eZmyx8Z+vZFBpKlm4x2q+87lmVRXl6O/Px8aDQaTnw404FbTXWQllxCq64a3gkK8GW+Lsi07/p7MDUhZHDo04AApVKJq1ev2hxrb28HANTW1tr9YPLUVW2J+9Lr9dBoNDRmyAFtbW3Izc3FlStXODEJY8KtTC2GMx0AAFZrREfxL9DXXUTg3NXwksgHOt0+4fF4EIvFHjs7jhAycPpUFG3evBmbN2+2G5s+fTrnGMMwOH36dF9uRQYhlmWhq6uAWa0E3ycQwqDezV4yGAzQaDTW2WQsy6KytRqn6s9BbdQhSOqPhJBxCJB55gKCA8FkMqG4uBgFBQUwmUw2MYZhEBMgRnRzCQQMdx0nfd1FqM8fh3dC9gBl23c0fogQ0hu9LoqoxYc4QlN1Ci1526GtKrt+gOFBNnYy/DPv7bI4smzSatm13tIyZDAZsPPsz5wVg78/vw/333onksLi++25eKq6ujrk5OSgqamJEwsKCsK09Mkw7f4nWDsFkYWmssytiyIaP0QI6YteF0X79u3rjzzIEKCtKUfd9tfA6tS/HmTNUJ05BF19JYbf9yIEvrarnxuNRmshZG/M0KHLx+1uoWAwGbClZAcCpQGI8ONODBiK9Ho9Dh8+jLKyMk6Mz+cjLS0NiYmJMKnaUGfkLtJ4I5O6vb/SdBiNHyKE9FW/LzJiWUFYLveM8Qek/7Sf2GNbEN3A2HwVHafy4Z9+F8xms3UrDpPJ1OlWHHqjHgcvH+/0fkbWiMLaMiqKcH0pjQMHDkClUnFikZGRyMrKgo+Pz/UDYhm8fIJgam/o9HqCYe7ZYszj8SCVSiESiVydCiHEA/V7UfQ///M/+Pbbb2lM0RBnUivRcTLPbozhC8GTyKGuvQRBR4d1G47uBk83a1pRr2rs8pyadu5KzENJR0cH9u/fj0uXLnFiUqkUmZmZGDNmjE2LCk8ghGzcFLQf3dnpdSVjkvol376ydJdJpVKPXVCSEOJ6A/LXg2YGEbNRD5iNNscYoQQ8sRwmLyG08ALb3g6xnb21OuPF6/7ly2eG5gek2WxGWVkZjhw5AoPBwInHxcVhypQpnW7D4x2XAf21KmgvlXBi8gkzIR2V4PSc+4rH40EkEkEikVB3GSHEIUPzE4MMOL7MF8LQaOjrLoInloIRyWHkCaBlAZNWC6NWBWlQVK+uGSj1x7jAW3Cmkbtru0VM4GgHM/c8jY2NyMnJQX19PSfm7+8PhULR7YQJnkiKgOnLoblUAnVlGcxaFfjewyAZnQhJZBwYxj22xuDxeJDJZDS7jBDiFFQUkQHBePHhkzwHLflfw8DwYWABo1oFk04N/F9LovSWSb27JsNgWmQazjVWwAzuuKMQWRCSwuKckr8nMBgMKCgoQHFxMad1lsfjISUlBRMnTuzxbCyeUARZbCpksan9ka7DvLy8IJfLqbuMEOI09NeE9Duz2Qyj0QjeqElg6+ugLtkLs+7GlZMZ+E29B5KIcb2+9viQW/DgxMX48VwOalXXrMfjQ8bi9piZ8BP7OOEZuL+qqirk5uZCqVRyYiNGjEB2djb8/QfPuk0CgYCm2xNCnI6KItIvLDPILP9ZBk7LJ84GP2Q0tFVlMGtU4Hn7QzY6CcKg8D7fKzF0PMYF3YKLzZehNWgRIB02ZGacqdVq5OXl4fx5bheiSCTC1KlTMW7cuEEz1oZ2t++c2WxGrbIeJtaMUHkQhHzqUiSkt6goIk5z4wKLnc0gYxgeJOExkITHOPXeQi8BxgZFO/Wa7oxlWZw+fRqHDh2Czs7g9NjYWGRkZAyqrS1o/aHOHb5yArvLc3Cm8QIAINxnOOaMmYaZ0Znw4lFrGiE91euiaNy43ndxkMHNbDZDp9PRDvUDpKWlBTk5OZz9BwHAx8cH2dnZGDlypAsy6z9UEHUu99JhbCz4FCx+fd9Vt9fiwxNfoEXThqUJC12YHSGepddFUV8+8OiP2OBkNpuh1Wo7XW2aOJfRaERhYSEKCws5C1ryeDxMmDABKSkpEAgELsqwfzAMA5FIBJlM5upU3I5Kr8a2sp02BdGNdpz9CekjkzHSb8QAZ0aIZ+p1UXT27Nn+yIN4CJPJZB0ndOOGrKR/VVdXIzc3F62trZxYSEgIFAoFAgMDBz6xfkYFUddO1p9Ds6a10zjLsjhx9SQVRYT0EI0pIt0yGo3WQshkMlEhNIC0Wi0OHjyIM2fOcGJCoRBTpkxBfHz8oGyN5fF4kEgknS4wSQC1QdP9OcbuzyGEXEdFEbHrxpljlkKIDByWZVFeXo78/HxoNNwPtejoaGRmZvZ6T0GzQQ/NldPQV5eDNRsgGBYOSXQi+DI/J2XuHF5eXpBKpbQoYzdC5UFOOYcQcl2vi6LONufsDk2fdX+WIojGCLlWW1sbcnNzceXKFU5MLpcjKysLo0aN6vV1jao2NP2yGfqr52yOt5/Yg2GzHoRkxC19ztlZLHuY0RpEPRMbFI3xQbfgdIP9Vd19Rd5IDnOfLVkIcXe9Lori4nq/QjDDMC7bELampgbr16/HwYMHoVarMWrUKDzwwANYvHhxjx5fWVmJXbt24eDBg7hy5QpUKhXCwsKQnp6O1atXIzg42Ob8o0ePYvny5Xav5efnh6NHjzr8nPqLSqWCyWRydRpDlslkQnFxMY4dOwaj0ciJJyYmIi0trc+tJ20F33EKIgAwa9rQ/MvHCFn8LPhS7z5d2xlohlnv8RgeViQtxvqD73M2R5byxViTthw+Ytf9TgnxNL0uioYP7/mieGq12u7A0IFSV1eHJUuWQKlUYsWKFQgPD8fevXvxwgsvoL6+HmvXru32Gl9++SU+++wzKBQK3HbbbRCLxSguLsbnn3+OnTt3YuvWrYiO5q6Ps2TJEkyaZLtthUgkctpzI4NLXV0dcnJy0NTUxIkFBgZCoVAgJCSkz9fXt9RDfa7zgtysboP2UinkcVP7fA9H8Hg8SKVSeo/0wSj/CLw0/Ukcunwcp6+dh5k1IXpYFKaOTEa479BYxJQQZ+l1UbRv375uzzEYDNiyZQveffddANe3GXCF9evXo6GhARs2bMDs2bMBAPfeey8eeeQRbNy4EQsXLkRERESX15gzZw5Wr14NH59ft4tYsmQJJkyYgP/+7//GP//5T7z11lucx02YMAELF9L6IKRrer0ehw8fRllZGSfG5/ORmpqKCRMmONz9bGi+CrBdd30bmmscukdfMAwDLy8vyGQy2sPMAYFSf9wxdhbuGDvL1akQ4tGcPtDnxx9/xLx58/DGG2+AZVn88Y9/xA8//ODs23RLo9Hgp59+Qnh4uLUgsli5ciWMRiN27drV7XVuvfVWm4LIYv78+QCAc+e43RE35qDVanuZORkqKioq8Nlnn9ktiCIjI3Hfffdh4sSJThmPx/PqwdpFPTnHiSzdZT4+PlQQEULcgtP+Ep04cQJvvPEGSkpK4OXlhWXLluH3v/89fH19nXWLXikvL4dWq8WECRM4saSkJDAMg9LS0j5fv76+HgA6XRvmlVdewXPPPQcACA0NxR133IE1a9YMqm0XSN90dHRg//79uHTpEicmlUqRmZmJMWPGOHVcjXB4NHhyf5g7Wjo9Rzxy4Far5/F4EIvF9H4ghLgVh4uiy5cv429/+xt+/vlnsCyLOXPm4KmnnnL5NgN1dXUArhckNxMKhfD397cWNn1h6TK76667bI7z+XxkZ2dj2rRpGD58OJqbm/HLL7/g/fffx6FDh7Blyxb6IBiizGYzysrKcOTIERgMBk58/PjxSE9P75d1ebxEEvgkzUZr3hd245LRSRCHDczsM5puTwhxV30uilpbW/H222/jiy++gMFgwIQJE/Dss8/abZlxxIYNG3p8bmpqKtLS0gDAurZLZ394RSKR3fVfeuLdd9/FTz/9hJkzZ2LRokU2sUmTJuG9996zOXbPPffgb3/7G/7973/j008/xerVq/t0X+K5GhsbkZOTY7cQ9/f3h0KhQFhYWL/mII/LAMPw0F78C0ztDQAAhi+CbHw6fCbOBTMAG4cKBAKabk8IcVu9Lor0ej0++eQT/Pvf/0Z7eztGjhyJp556CnPmzOmP/PD222/3+Ny1a9daiyJLa4xer7d7rk6ng7+/f6/z+eSTT/Dmm28iNTUVf/vb33rcxbFmzRp8+OGHyMnJoaJoCDEYDCgoKEBxcTFn3Scej4eUlBRMnDhxQIoEhmEgj5sK6S2ToLtWCZjN4A8bDoG89++DvtzbUhDRmmWEEHfV66Jo7ty5qK2tha+vL/70pz/h/vvv79c/6F0NZO6KpdvM0o12I71ej5aWFiQmJvbqmh999BFee+01TJkyBRs3buxVN5hUKkVAQACam5t7dU/iuaqqqpCbmwulUsmJjRgxAtnZ2X0qzB3FE4ohCR87YPej9YcIIZ6i10XR1atXwTAMWJbFpk2bsGnTpm4fwzAMcnJy+pRgX8XExEAkEqG4uJgTs3xrT0jo+Uqv77//Pv7+978jMzMT77zzTq/XU+no6EBjYyMiIyN79TjiedRqNfLy8nD+PHeVYZFIhIyMDIwdO3ZIFAgMw0AsFkMqlbo6FUII6VafxhSxLIu2tja0tbU5Ox+nkUgkmD17Nnbt2oU9e/bYTMvftGkT+Hw+FixYYPOYy5cvw2AwcBZjfPfdd/Hmm29CoVDgn//8Z5cDRFtaWjjf/lmWtS5RMHPmTCc8O+KOWJbF6dOncejQIeh0Ok48NjYWGRkZQ2agPS3ISAjxNL0uis6ePdsfefSLJ598EocPH8a6detw6tQp64rWOTk5WLNmDWeG3IMPPoiamhqbLrvPPvsMb775JgIDAzFr1iz8+OOPNo+RyWQ2hc5DDz2EwMBAxMfHIzQ0FM3Nzdi7dy9KSkqQkpKC+++/v3+fNHGJ5uZm5Obm4urVq5yYj48PsrOzXT4jc6BYxg9JpVIaUE0I8SiDesW0sLAwbNu2DW+++Sa2bdsGtVqNqKgo/PnPf8aSJUt6dA3LwnqNjY3405/+xImPGDHCpiiaM2cOcnJysHXrVrS3t0MgECA6OhrPPfcc7r//fggEA7tAHulfRqMRhYWFKCws5GyWzOPxMGHCBKSkpAyZ37tl/SGxWDwkugcJIYMLw9JW6B5FrVYjKSkJAFBUVOSUsRp1yga06zoAnRkBYj+HrzdU1NTUICcnx+7+fiEhIVAoFJ0u7jkYeXl5QS6X0+rUhJAB0R+fh/TXawi72l6Hr0/9iPwrx+Ev8YXYKESoNBCzoqch0t81+9V5Aq1Wi4MHD+LMmTOcmFAoxJQpUxAXFzekpp7T+kOEkMGAiqIhqkHVhDfy38NV5Y1LFrAou3YWla3V+F3KMozw5a4GPpSxLIvy8nLk5+fbXfhz9OjRmDZtGuRyuQuycw3LdHupVDqkikBCyOBERdEQtb/y6E0F0a+U+g4culKIxb7zBzgr99XW1obc3FxcuXKFE5PL5Zg2bRpGjx7tgsxch2EYiEQiSKVSGj9ECBkUqCgaoo5VF3cdrynG7TEzIRYO7enUJpMJxcXFOHbsGIxGo02MYRgkJCQgLS1tyO3jResPEUIGIyqKhqh2HXeV5RvpTHoYWAPEGLpFUX19Pfbt24empiZOLDAwEAqFAiEhIS7IzLV4PB4kEkm/bFxLCCGuREXREBUTOBqHr5zoNB7pOwIywdBsBdDr9Th8+LB1OYYb8fl8pKWlITExcUiOoeHxeJDJZEOuZYwQMjRQUTREZYxM7bIoSgtPGpIf+hUVFThw4ABUKhUnFhkZiaysLPj4+LggM9fz8vKCVCqlgogQMmhRUTREJY9IwNL4O7Dt5E5OLGNkGtLCk1yQlet0dHTgwIEDuHjxIicmlUqRmZmJMWPGDNkBxXw+HzKZjNYgIoQMavQXbohiGAZ3xd2G8cExOFpdBL1JD5lJhEjfCMQEjBoyrURmsxllZWU4cuQIDAYDJz5+/Hikp6cP2fEzNOWeEDKUUFE0xI0NisbYoOsb4La2tsJkMrk4o4HT2NiInJwc1NfXc2L+/v5QKBQICwtzQWbuwTLDTCKRDNkWMkLI0EJFERlyDAYDjh07hqKiIty8yw2Px0NKSgomTpw4pFdnph3uCSFDERVFZEipqqrC/v370d7ezomFhYVBoVDA39/fBZm5DxpQTQgZqqgoIkOCWq1GXl4ezp8/z4mJRCJMnToV48aNG/LdRHw+H3K5fEi3khFChi4qisigxrIszpw5g4MHD0Kn03HiMTExyMjIGPIrMzMMY93UlQZUE0KGKiqKyKDV0tKCnJwcXL16lRPz8fFBdnY2Ro4c6YLM3ItlhplMJhvyLWWEkKGNiiIy6JhMJhQWFuL48eMwm802MR6PhwkTJiAlJQUCgcBFGboP2tSVEEJ+RUURGVRqamqQm5uLlpYWTiwkJAQKhQKBgYEuyMz90KauhBBii4oiMihotVocOnQIp0+f5sQEAgHS09MRFxdH42X+D23qSgghXFQUEY/GsizOnz+PvLw8aDQaTnz06NGYNm0a5HK5C7JzT7Spq3uoVV5DQXURGlTN8BbJkRx2K6IDolydFiFDGhVFxGO1tbVh//79uHz5Micml8uRlZWFUaNGuSAz9+Xl5QW5XE57mLlY7qXDeO/4ZzCZf11B/qvTP2DRuDlYEn8HtWgS4iL0l5F4HJPJhJKSEhQUFMBoNHLiCQkJmDx5MrWE3IBhGOumrrQGkWuduXYeG499yllNHQB2nPkJwfIgzBg91QWZEUKoKCIepb6+Hvv27UNTUxMnFhgYCIVCgZCQEBdk5r5oyr17yb9cYLcgsth7MR/ZUZPhxaPilZCBRkUR8Qh6vR5HjhxBaWkpJ8bn85GamooJEyZQt8NNaA8z91PeVNll/EJTJVq0bQiUDhuYhAghVlQUEbd38eJF7N+/HyqVihOLjIxEVlYWfHx8XJCZe7N0l9H4Ifci8up6fSyGYcDn0e+MEFegdx5xWx0dHThw4AAuXrzIiUmlUmRmZmLMmDHUJXQT2rLDvU0IjUN506VO4+nhk+AnpiKfEFegooi4HbPZjLKyMhw5cgQGg4ETHz9+PNLT02mNHTto/JD7y4xKRc6lw2hQc8fFCb0EmDUms99zON90CYcuH8eV9lqIvUSYEDoekyMmQi6S9fu9CXFnVBQRt9LY2IicnBzU19dzYv7+/lAoFAgLC3NBZu6PCiLPECIPwtMZ/4Vtpd+iqO6U9fgo/5FYGn87xgfH9Ov991bk4/3Cz20GexfUFCO38ggeT38IgVL/fr0/Ie6MiiLiFgwGAwoKClBcXMyZmcPj8ZCcnIxJkybRdPJOWPYwk8nom74nGOUfgWen/R4VzVVoUjdDLpQjNiga/H6ecVbZcgX/Ltxqd/ZbedNF7Di9Gw8n/6ZfcyDEnVFRRFyuqqoK+/fvR3t7Oyc2YsQIZGdnw9+fvr12hmEYSCQSSCQSV6dCeoFhGIwJiMKYAVzF+vCVEzCz5k7j+y8dxp1jZyNIHjBgORHiTqgoIi6jVquRn5+P8vJyTkwkEmHq1KkYN24cdQV1gabck96o62joMq43G3BN3URFERmyqCgiA45lWZw5cwYHDx6ETqfjxGNjYzF16lTavb0btIcZ6S2ZsPvWRKmAWhzJ0EVFERlQLS0tyMnJwdWrVzkxHx8fZGdnY+TIkS7IzLN4eXlBKpVSQUR6ZeLwW/FLRX6n8fjgWET5hQ9gRoS4FyqKyIAwmUwoLCzE8ePHYTbbjmlgGAZJSUlISUmBQND1wnZDnWWGmVQqpTWISK9NCB2P9IhJOHSlkBMT8gS4c9wc6q4mQxoVRaTf1dTUIDc3Fy0tLZxYSEgIFAoFAgMDXZCZZ6HxQ8RRfC8+Vqfcj3DfMPxSkYdmTSsYMEgOS8C8GAXiQmJdnSIhLkVFEek3Wq0Whw4dwunTpzkxgUCAKVOmID4+nlo8ukE73BNnkgokuCduHubdokCjuhlCvhCh8qA+XUt9+Qr0ra0Q+vtDGkHdbsTzUVFEnI5lWZw/fx55eXnQaDSc+OjRozFt2jTI5XIXZOdZeDweRCIRJBIJdWsQp5IKJRgpHNGnx3ZcqMCV/3yJ5oJjAMsCPB4CpkxG+L33QB4V6eRMCRk4VBQRp2pvb0dubi4uX77MicnlckybNg2jR492QWaehwZTE3ekunwZp19+FYYbu8PNZjQdPISO8xcQ9//+G5Kw4a5LkBAHUFFEnMJkMqGkpAQFBQUwGo2ceGJiItLS0ugDvocsG7pSdxlxN/U/77UtiG6gu3YN9XtzELXsvgHOihDnoKKIOKy+vh45OTlobGzkxAIDA6FQKBASEuKCzDwP7XBP3JlZr0dD7oEuz2k6eBCRD/yGunuJR6KiiPSZXq/HkSNHUFpayonx+XykpqZiwoQJ9OHeQ5aCSC6X0wcKcUtmgxEmlarLcwztSrAmExg+fbwQz0OvWtInFy9exP79+6Gy8wdy5MiRyM7Oho+Pjwsy80y0wz3xBF5SCbzHj0N72clOz/GNGwceFUTEQ9Erl/RKR0cHDhw4gIsXL3JiEokEmZmZuOWWW+iDvReoICKegmEYhExXdFkUBWZnDWBGhDgXFUWkR8xmM8rKynDkyBEYDAZOfPz48UhPT4dYLHZBdp6LYRiIRCJIpVIqiIhHCMrKhOryFVzd8Q0nFrF0CQLTpwx8UoQ4CRVFpFuNjY3IyclBfX09J+bv7w+FQoGwsDAXZObZGIaBWCymjW+JR2G8vBC14gEMS56IpiNHoW9phWjYMASkp8Fn3DhXp0eIQ6goIp0yGAw4duwYioqKwLKsTYzH4yE5ORmTJk2iaeN9wDAMJBIJJBLakZx4HoZh4BsfB9/4OFenQohTUVFE7Lp8+TJyc3PR3t7OiYWFhUGhUMDf398FmXk+Ho8HiURCXY2EEOJmqCgiNtRqNfLz81FeXs6JiUQiTJ06FePGjaPxL33E4/Egk8loEUtCCHFDVBQRANf3Kzt16hTy8vKg0+k48ZiYGGRkZND4Fwd4eXlBJpNBIBC4OhVCCCF2UFFE0NTUhF27dqGqqooT8/HxQXZ2NkaOHOmCzAYPPp8PuVxO468IIcSNUVE0xKnVanzyySdQKpU2xxmGQVJSElJSUqhlw0GWVappZW9CCHFvg74oqqmpwfr163Hw4EGo1WqMGjUKDzzwABYvXtzja8TGxnYa27VrF2JiYmyOGY1GbNq0CV999RVqamrg5+eHGTNm4PHHH3e7wcmNjY2cgigkJAQKhQKBgYEuympwoEUZCSHEswzqoqiurg5LliyBUqnEihUrEB4ejr179+KFF15AfX091q5d2+NrJScn49577+UcHz58OOfYc889h507d0KhUOC3v/0tqqur8cknn+DEiRP44osv3GpcTlhYGIKCgtDQ0AChUIjJkycjPj6eWjUcRAURIYR4nkFdFK1fvx4NDQ3YsGEDZs+eDQC499578cgjj2Djxo1YuHAhIiIienStiIgILFy4sNvzDh8+jJ07d2L69OnYuHGj9XhcXBwee+wxbNq0qVfFWH/j8/n4r//6L9TW1kIoFNKYFyegRRkJIcQzDdrmAI1Gg59++gnh4eHWgshi5cqVMBqN2LVrV6+uaTAY0NHR0eU53377rfUeN5ozZw5GjBhhjbsTLy8vhIeH0zRxJ7BMuaeCiBBCPM+gbSkqLy+HVqvFhAkTOLGkpCQwDIPS0tIeX++nn37Czp07YTKZ4O3tjezsbDz++OMIDw+3Oa+kpAQ8Hq/T+3733XdobW2Fn59fL58RcWcMw1in3PNph3CPUN1WhyNXClGvaoRUIMGksFsRFxwDLx61lhIyVA3av951dXUAgNDQUE5MKBTC39/f7l5e9sTHx2POnDmIioqCXq9HYWEhtm/fjry8PHz++eeIjo62ua+/v7/dVpeQkBDrOVQUDR40fsjz5F46jPeObYGJNVuP/Xg+B4pRU7Bq4lKI+NRqSshQ5PZF0YYNG3p8bmpqKtLS0gBc7z4D0GmXkEgksp7Tna+++srm5wULFiA7OxurV6/GX/7yF3z44YfWmFarha+vb6f3tJxDBgcejwexWEx7mHmQ802X8O6xLTDfUBBZ5Fw6jOHeIbhz3BwXZEYIcTW3L4refvvtHp+7du1aa1Fk+ZDS6/V2z9XpdA5Nj8/KykJiYiKOHDkCnU5nLXjEYnGX97ScQzwfbdnhmQ5WHbNbEFnsrcjH3DFZEAvofUrIUOP2RdG5c+f69DhLt5mlG+1Ger0eLS0tSExMdCi38PBwlJSUoLW11do1FhoaisrKSuj1es6HpaW7zl6XHnFfBlULjM11AOMFUXAkeEIRbdnhwS63Xe0yXq9qRIO6GRG+YQOUESHEXbh9UdRXMTExEIlEKC4u5sSKi4vBsiwSEhIcukdlZSUEAoFNi1NCQgIuXryIkpISpKSk2JxfVFSEkSNH0niiPjKaTShvrEBlSzUYMBgdEIlbhkX125pKJq0K7Sf2QHX6IFjD9S5PQUA4hqXNQ3DiNFq+wEMJvbpu2WPAdHsOIWRwGrRT8iUSCWbPno3q6mrs2bPHJrZp0ybw+XwsWLDA5vjly5dRUVFhc6ylpcXu9b/77jucOnUKGRkZNi1ClrWMNm3aZHP+nj17UFNT06O1jghXk6oF7x7djPeOf4afKvZjd0Uu/lXwCf5duBWt2jan3481m9CcuxUdJXutBRFPKIEXa4Tu8HaoSnOdfk8yMBJDx3UZTw5LQIicVnMnZCgatC1FAPDkk0/i8OHDWLduHU6dOmVd0TonJwdr1qzhbHL64IMPoqamxqbLbuPGjThx4gQmT56M4cOHw2Aw4MSJE9izZw+CgoLw/PPP21wjPT0dCxYswHfffYdHHnkEM2bMQHV1NT7++OP/396dRzV1rW0AfwIJswgCgoIDaoMVlElRHGqdsE51RO11tlStxd6qt4O3/ez9rF31WodatRatU8WCqDhVW6eqiBbUFhUUtUVRAUWQeYZwvj9cyUdMGBOSiM9vrbtu3Weffd43AfLmnH32QadOnVTWL6LaVVZWIjzhMP7KTlbZdjPjDg7cPI5ZPqqrjWuiJPUOSu5dVfzb2NQCJpbWMKsshSz/KbIv7oNVF38YmXI9ohdN7za+OHvvd9zLeaiyTWIkwRvS13UfFBEZhCZdFLVu3Rrh4eFYu3YtwsPDUVRUhPbt22PZsmWYNGlSncbo2bMn7t69iyNHjiA7OxuCIMDZ2RkzZ87EO++8Azs7O5V9VqxYAalUisjISPzv//4vbGxsMHr0aHzwwQewtLTUdppN3p2se7jz9G61268+voHk7BS0t3Wptk99lTxMVPy3sZklTC2sYCorhiz/KSBUQpbzBCUpt2HR0VtrxyTdaG5ujUV95mBfws84/+D/J1272XXEOPdh6OrYWc8REpG+iARBEPQdBNVdUVERvL2ffRDHxcVpdeXknJwcyGQyrY2nLSf/jsLPd07X2Gd8l+F4rX1PrR0z+9weFNw8D7Flc5iamsFEVqIoiOQcJ3wESzftHZN0Ly0vHU+KMmEhsUAn23Z85h/RC6QxPg+b9JkiahqMRLV/UBnXoU99iO1aQdKsBcwkYogrCiHLzwZQ5fuDkTFM7Ov23DwyXK2tHdHa2lHfYRCRgeDXIjJ4nVq0r3G7EYzQsZY+9WX1SndYWdvCuDQPsvwsKBVEAKy6vg6JHW/ZJiJqSlgUkcFrZ+sC39bVL5/Qp10PODVz0NrxxGIxbFq2QstBb0EE1cd2mLXzQIv+k7V2PCIiMgy8fEYvhPFdhsHUSIKYlDhU4tm8HiORMfq264HhrwzQyjFEIhEkEgksLS1hZGQEcVt3tA76GkWJMShNT4ZILIZ5+26w6OQDI4mpVo5JRESGg0URvRAsTSwwqdub6O/qj+SchxBBBNcWbdHSUvXuv4YQiUQwNTWFhYWF0kNdJc3s0NxvhFaOQUREho1FEb1QnJo5aPVSGfDsGWYWFhaK59cREdHLiUURvdT4DDMiIpJjUUQvLbFYDEtLS4jF/DUgIiIWRfSSEovFsLKy4kNdiYhIgUURvTAqy8pQkpEJkZEIZi1bQtTAgkYikcDKyoqrF9eiPDcDhbd+R2laEkTGxjBr5wFLqR+Mza30HRoRUaNgUUTVkpUUoSI3HSIjMSQtWkFkrJ8fF0EmQ0b0BWRGRaM4LQ0AYNmhAxwH9oetr2+dx5Hfcm9lZaV0hxmpKkpOQMbBtZAV5ijaCuLPIc/xGFqOWwyTFq30FxwRUSNhUUQqKsvLkH/9DApuRKOyMBsAIHFoh2aeA2H5St2LEG15dOw4Hh07ptRWePcu7t69i7bFpXDo27vWMUQiEUxMTGBpacmCqBay4gJkHFmvVBDJlaXfw9PTO9Eq8BPdB0ZE1Mh4/YCUCIKAnIuRyLt0RFEQAUB5xn1kndqOwlsxOo2n+NFjPPr112q3PzryM8oLC2scQ74GEQuiuin86zJkeZnVbi++cxklaX/pMCIiIt1gUURKStPvofBmdLXbc678gsqyYp3Fk3sjAaisrHZ7eV4e8hNvVbtdJBLBzMyMBVE9lGem1NqnLDNVB5EQEekWiyJSUnz/Zo3bK/OfoiTtbx1FA8iKSmrvU6K+j5GRESwtLWFhYaHtsJo0kbj2RSz5mBMiaopYFJGy8tqLEKG8TAeBPGPqUPvq1ab2qo/6EIvFaNasGVepbgCLjt41bje2tIF5ew8dRUNEpDssikiJxMaxDn1a6iCSZ5p384CkuU212y07dECzV15R/Fs+obpZs2ZclLGBzJxfQTOfgGq32/QNhLF5Mx1GRESkGyyKSImZazeIzKpfh8bMtRtMHNroLB6JpSXaTZ8CYwtLlW0mdnZoMylQsV6RfEI11yDSnN3gmbB9bTKMLW0UbRKHNrAfOR/WvkP1FxgRUSPiV2lSIrZsDrtB0/D05A4Iz02olti5oHnP0TqPqXmXV+H24UJkXfkTRfeSITIygtUrndCiuw9MWrQAwIe6apuRxBS2/QJh3f0NlGU8AERimDq151wiImrSWBSRCvO27mg5/l8oSvoT5RkpEBkZw8zFDeaunnpbzdjcyQnOI4er3caHujYeY/NmMG/rru8wiIh0gkURqWVi4wgT32H6DqNWEokElpaWfIYZERFpjEURvZDkj+ywtLTk/CEiItIKFkX0wuEjO4iIqDHwKza9UFgQERFRY+GZInphyB/ZwRWqiYioMbAooheCkZERzM3NYWZmpu9QiIioiWJRRAaPaxAREZEusCgigyZ/qKuJiYm+QyEioiaORREZLC7KSEREusSiiAySWCyGlZUVF2UkIiKdYVFEBoWLMhIRkb6wKCKDoa81iMpy85AVE4vc+AQIFTJYdeoAu769Ye7kpLMYiIhI/1gUkUEQiUQwNTWFpaWlTo9blJKK2ytXo+j+fUXb099/R+rBw5D+ayFsvTx1Gg8REekPr0+Q3olEIpibm+u8IAKA5B07lQoiuYr8fPy9bj3KcvN0HhMREekHiyLSK/kt9+bm5jo/dt6dv5B9+Y9qt5dlZSMr9pIOI6KXRUlFKZ4WZaO4vETfoRBRFbx8Rnqj7zWISlLTau1TnFZ7H6K6yinOw/G/z+HMvYvIKs5Bc9NmGODaGwGv9Ie9ha2+wyN66bEoIr0whDWIjOvwyJC69CGqi9ySfKy9uAWJmX//f1tpPg7eOo5rj2/io37vwo6FEZFe8fIZ6ZyxsTGsrKz0viijdVd3mLRoUWMfW19vHUVDTd25ezFKBVFV93Ie4lRStI4jIqLnsSginRKLxWjWrBnEYv2fpJRYWaHNWxOr3d5qxBto9sorOoyImrILD6/UuD0qOQYVsgodRUNE6uj/k4leGhKJBFZWVga1KKNTwBAYmZgg7dARFN69BwAwsbOD0/ChcH5zlJ6jo6ZCVinDk8LMGvtkFmejRFYKK2P+WSbSF/72UaMz9FWqW77eH/Z9eqPw/n0IFRWwaNMGYj0sD0BNl7GRMdo1d8HNjDvV9mlj3RrmYs5hI9InFkXUqOQFkZWVlU5Xqa4vI4kEzTp10ncY1IT1bdu9xqKof/teMDbis/6I9MnwvrZTkyF/bIehF0REutCvfU/0a+endluP1p4Y1KGPjiMioufxTBE1Cn09x4zIUJmKTTC3+xR0dXwVMQ//xKOCdLS0tEcvF2/0btsd5hJeOiPSNxZFpHX6eo4ZkaEzEZvgdddeeN21l75DISI1WBSRVolEIpiZmcHCwkLfoRAREdULiyLSGiMjI5ibm8OMq0ATEdELiEURaYWRkREsLCxgamqq71CIiIgahEURaUzfD3YlIiLSBhZFpBFDeLArERGRNrAoogaTP9jVEJ5jRkREpKkm/2mWmpqKNWvW4MKFCygqKoKrqyumTp2KwMDAOu2/fv16bNiwocY+UVFRcHR0BADExsZi+vTpavvZ2NggNja2fgkYKLFYDCsrKxgbcwVeIiJqGpp0UfT48WNMmjQJ+fn5mDFjBlxcXHD69Gl89tlnSE9PR3BwcK1jDBkyBG3btlVpT0tLwzfffAN3d3dFQVTVpEmT4Ovrq9TWVCYhG+KDXYmIiDTVpIuiNWvWICMjA+vXr0dAQAAAYOLEiZg3bx42bdqE0aNHo02bNjWO0blzZ3Tu3Fml/ZtvvlGMp46XlxdGjx6tWQIGxtAf7EpERKSJJvvJVlxcjOPHj8PFxUVREMnNmjULFRUVOHLkSIPGlslkiIyMhIWFBUaOHFljDCUlJQ06hqGp+hwzFkRERNQUNdlPtzt37qCkpAReXl4q27y9vSESiXD9+vUGjR0VFYX09HQMGzYMVlZWavt8+eWX8PLygqenJ/r374/Vq1ejuLi4QcfTt6qP7eBzzIiIqKlqspfPHj9+DABwcnJS2WZiYgJbW1ukp6c3aOyIiAgAz+YNPU8sFuP111/Ha6+9hlatWiErKwunTp3C5s2bcfHiRYSGhsLc3LxBx9UHPraDiIheFgZfFK1fv77Off38/NCzZ08AUJyVqW5BQVNT0waduXny5AnOnTsHqVQKT09Ple2+vr4ICQlRapswYQJWrVqFLVu2YNeuXZgzZ069j6sPfGwHERG9TAy+KKrtdviqgoODFUWR/GxMWVmZ2r6lpaWwtbWtdzyRkZGQyWTVTrCuzvz587F161acOXPmhSiKuEo11abwXjLK8/NhYmcHC+fW+g6HiEhjBl8U3b59u0H7yS+byS+jVVVWVobs7Gy1Z3pqIggC9u3bBzMzs3rfWWZhYQE7OztkZWXVaz99MDY2hoWFBQsiUivv1m08jNiHnD/+fNZgZASHfn3gMnECLFxc9BscEZEGmuxEa6lUClNTU1y9elVl29WrVyEIArp161avMX///Xc8fPgQQ4cOhbW1db32LSgoQGZmJuzt7eu1n67JV6lmQUTqFCTdReLyr/6/IAKAykpknDuPW1+tRGlGhv6CIyLSUJMtiszNzREQEICUlBScOHFCadu2bdsgFotVbqd/8OABkpKSqh1z7969AKpfmwgAsrOzVdoEQcDKlSshCAIGDx5cnzR0ysjICM2aNeNjO6haj4+fREV+vtptxSmpeHL2nI4jIiLSnib96bdo0SL8/vvv+Oijj3Djxg3FitZnzpzB/PnzVVaqnjlzJlJTU9VessvKysLJkyfRoUMHdO/evdpjBgUFwd7eHh4eHnByckJWVhZOnz6Na9euoUePHpgyZYrW89QWrkFENSkvKMCTM2dr7JMVexltAifoJiAiIi1r0kVR69atER4ejrVr1yI8PBxFRUVo3749li1bpvZ2+pocOnQI5eXltU6wHjp0KM6cOYOwsDDk5eVBIpGgY8eOWLJkCaZMmWLQT5NnQUQ1EcrKIVRz44JceZ76s0hERC8CkSAIgr6DoLorKiqCt7c3ACAuLo7rB5HOCDIZrn28BIV/VX+J2b5/P7gt+kB3QRHRS6sxPg95aoCI6kRkbAzHwYNq7OPwWj8dRUNEpH1N+vIZET1TKVTiTuZdpOanw1xsCg9HN1ibNqv3OI6DBqLo/kM8PvaLyrZ2M6ahRXdfbYRLRKQXLIqImriHuY+wM24vrqcnKtqamVoh0H0EhnbqX6/n2RlJJOgQNAt2vfyQFXsZZbm5MHOwR4ve/rCWvtIY4RMR6QyLIqImLLckH2svbkFK3iOl9vzSAmz7cw9MjU0woEPveo0pMjaGjWc32HjWb50vIiJDxzlFRE3YpZQ4lYKoqqN3TqNMVq7DiIiIDBeLIqImLOHJnRq3P8hNw4OcVB1FQ0Rk2FgUETVhglBZax9ZHfoQEb0MWBQRNWEdW7SvcbuDpR3aWrfSTTBERAaORRFRE9a7jS+am1X/8OKAjq/B3MRchxERERkuFkVETZiDlR0W+gfBwdJOqV0EEUZIB2G4dICeIiMiMjy8JZ+oievS8hWsDPg3/kiLR1p+OsyMTeHVqgva27bRd2hERAaFRRHRS8DSxAKvte+p7zCIiAwaL58RERERgUUREREREQAWRUREREQAWBQRERERAWBRRERERASARRERERERABZFRERERABYFBEREREBYFFEREREBIBFEREREREAFkVEREREAFgUEREREQFgUUREREQEgEUREREREQBArO8AqH4EQVD8d3FxsR4jISIi0p+qn4FVPxs1waLoBVNSUqL47969e+sxEiIiIsNQUlICS0tLjcfh5TMiIiIiACJBW+ecSCcqKyuRnZ0NADAzM4NIJNJzRERERLonCILi6omtrS2MjDQ/z8OiiIiIiAi8fEZEREQEgEUREREREQAWRUREREQAWBQRERERAWBRRERERASARRERERERABZFRERERABYFBEREREBYFFEREREBIBFEREREREAFkVEREREAFgUEREREQFgUUREREQEgEUREREREQBArO8ASH9SU1OxZs0aXLhwAUVFRXB1dcXUqVMRGBhYr3EKCgqwZcsWnDhxAqmpqTAzM0O7du0wdepUjB49upGirz9t5StXWVmJyZMn49q1a/D398eOHTu0G7AWaJpzcnIyjhw5ggsXLuDhw4coLCxE69at0bt3b8yZMwctW7Zs5AxUnThxAj/88APu3LkDiUQCX19fLFq0CFKptE77FxcXY+PGjTh27BiePHmCli1bYsSIEZg/fz7Mzc0bOfqG0STn3377DadPn8bVq1eRlpYGU1NTtGvXDoGBgRgzZgzEYsP7GND0Pa4qMTEREyZMQEVFBVauXGlQf5Oq0kbON27cQEhICP744w/k5ubC1tYW7u7u+Oyzz+Di4tKI0defpvneunULISEhuHbtGjIyMmBnZwd3d3e8/fbb8PHxaXBcIkEQhAbvTS+sx48fY8KECcjPz8eMGTPg4uKC06dP4+zZs1iwYAGCg4PrNE56ejqmT5+O7OxsjB07Fp06dUJxcTGSk5Ph4OCAd999t5EzqRtt5VvV9u3b8e2336KoqMggiyJt5Lxq1Srs3r0bAwYMgKenJ8zMzHD16lUcOnQIVlZWCAsLQ8eOHXWQzTN79+7FZ599BqlUikmTJqG0tBShoaHIzc1FWFgY3NzcatxfJpNh5syZuHTpEkaPHo0ePXrg1q1bCAsLQ48ePbB9+3YYGRnWCXRNc+7Tpw/Mzc0xePBgdOzYEfn5+Th69CgSEhLQv39/hISEQCQS6Sib2mmab1UVFRWYOHEi7t27h6KiIoMtirSR888//4yPPvoInTt3xhtvvIEWLVogKysL8fHxmDdvHtzd3XWQSd1omu/169cxZcoU2NjYYOLEiXByckJaWhoiIiKQlZWFLVu2oG/fvg0LTqCX0ocffihIpVLh+PHjSu1z584VunTpIjx48KBO40yfPl3o06ePkJaW1hhhao228pV78OCB4OnpKezYsUOQSqXCjBkztBitdmgj5+vXrwu5ubkq7eHh4YJUKhXef/99rcVbm5ycHMHHx0d47bXXhPz8fEV7amqq4OXlJUybNq3WMfbu3StIpVLhiy++UGrfunWrIJVKhQMHDmg7bI1oI+eLFy8KlZWVSm0VFRXCW2+9JUilUuHs2bNaj7uhtJFvVSEhIYK3t7ewceNGQSqVCgcPHtR2yBrTRs53794VunbtKnz44YeCTCZrzHA1po18Fy9eLEilUuH27dtK7QkJCYJUKhUWLFjQ4PgM6ysR6URxcTGOHz8OFxcXBAQEKG2bNWsWKioqcOTIkVrH+eOPPxATE4OgoCC0atUKMpkMhYWFjRV2g2kr36o+++wzdOrUCdOmTdNmqFqjrZy7du0Ka2trlfYRI0YAAG7fvq2dgOvg9OnTKCgoQGBgIKysrBTtrVu3xtChQxEbG4tHjx7VOMahQ4cAPHsNqvrHP/4BMzMzHDx4UOtxa0IbOfv7+6ucCTI2NsYbb7wBQLfvYW20ka/cvXv3sGHDBixcuBBOTk6NFbLGtJHz1q1bIZPJ8Mknn8DIyAjFxcUoKytr7NAbRBv5FhQUAIDK5XtHR0cA0OgyOIuil9CdO3dQUlICLy8vlW3e3t4QiUS4fv16reOcO3cOANC2bVssWLAAnp6e8PHxQd++ffHdd99BJpNpO/QG0Va+chEREbhy5QqWL19ucJda5LSd8/PS09MBAPb29g0eo76uXbsG4Fn8z5O3xcfHV7u/IAiIj49Hy5Yt4ezsrLTNzMwMr776ao3764OmOddE/h7a2dk1MDrt01a+giDg008/RefOnTFlyhTtBqll2sj57Nmz6NChA65du4bhw4fDy8sLnp6emDRpEmJjY7UftAa0ka/80tjixYtx7do1pKenIy4uDv/617/QvHlzzJ49u8HxGd4MO2p0jx8/BgC1355MTExga2ur+INZk6SkJADAp59+ChcXFyxfvhwAEBYWhnXr1uHRo0f44osvtBh5w2grX+DZB8nKlSsxa9YsdO7cWatxapM2c1Zn3bp1AIBx48Y1eIz6kserLid5mzxvdXJyclBcXIxXXnlF7XZHR0fExcWhoKBA6RusPmmac3UeP36MPXv2oHnz5hg0aJBmQWqRtvL96aefcP36dezfv99gv7jIaZpzfn4+MjIyUF5ejuDgYEyaNAkLFy5EcnIyvv/+e8yePRvbt2+Hn59f4yRQT9p4j9966y2kp6cjNDQUEydOVLRLpVJERESgffv2DY6PRdELbP369XXu6+fnh549ewJ4dmkFePbhqI6pqamiT03kl8rMzc2xe/duxXjDhw/HiBEjsHfvXsyaNQsdOnSoc5w10Xe+APCf//wHtra2DZqY3RCGkPPzvv/+exw/fhyDBw/G2LFjGzRGQ9SUk7ytpKSk2v3l22p6TeTHMZSiSNOc1SksLMT8+fNRUFCA9evXw8bGRuM4tUUb+aalpWH16tWYPXt2vSZl64umOcv/Dufk5GDu3LlYtGiRYpuHhwdmzpyJNWvWIDw8XJthN5g23mMjIyM4Ojqic+fOGDx4MNq3b4/k5GRs3boVQUFB2Llzp8rZ4LpiUfQC27BhQ537BgcHKz4w5ddbq7vmXFpaCltb21rHNDMzAwCMGjVK6QfcxMQEo0aNwsaNGxEbG6u1okjf+R49ehS//fYbtm/frsi9sek75+ft3LkTa9euhZ+fH1atWqXTu5ZqykneVtP7It9W02tS9TiGQNOcn1dYWIg5c+bg5s2b+J//+R8MGTJEO4FqiTbyXbp0Kezt7fHee+9pP8BGoGnO8mIeUD1z6+/vj9atW+PatWsoLi42iJ9tbbzHq1evxvbt23HgwAGlW/j79u2LcePGYeXKlYqz2fXFougF1tAJkjWdoiwrK0N2djY8PT3rPI6Dg4PKNnlbbm5ug2JUR5/5lpWVYfny5ejbty+cnZ1x//59pe0lJSW4f/8+LC0ttTrPRt/vcVXbt2/HihUr4O/vj02bNun8D6x8EuXjx49VlgGo6XKhnI2NDczNzas9NZ+eng4rKyuDOUsEaJ5zVQUFBXjnnXcQFxeH//znP5g8ebJ2g9UCTfM9efIkzp8/j2XLlim9z0+fPlX8//3799GyZUuDKBAA7fxcW1hYoKioqNq/xWlpacjLyzOInDXNt7y8HDt27ECHDh1U1jRyc3NDhw4dNJpHZdgXW6lRSKVSmJqa4urVqyrbrl69CkEQ0K1bt1rHkU/iVXengPyH2xAmcWoj35KSEmRlZSE6OhoBAQFK/wOAuLg4BAQE4Msvv2yMFOpNW++x3ObNm7FixQr069cPISEhevnjKo83Li5OZZs8z65du1a7v0gkgoeHB548eYLU1FSlbSUlJUhMTKxxf33QNGe5/Px8vP3227h69SqWL19ukAURoHm+8vd16dKlSr+jq1atAgD897//RUBAAC5fvqzlyBtOGz/X8u3qCv5Hjx5BLBYbzGVSTfPNzs5GeXl5tTfyVFRUaHSTD4uil5C5uTkCAgKQkpKCEydOKG3btm0bxGIxRo4cqdT+4MEDxcRquUGDBsHa2hqHDh1S3CIJPDtFf+DAAUgkkoYvoKVF2sjX3Nwc69atU/s/4FkRsm7dOsycObPR86kLbb3HwLM5RKtXr8aAAQPw3XffKZ2u16XBgwfD0tISe/fuVfp5S0tLw6+//go/Pz+0atUKwLN5C0lJSXjy5InSGPKF+7Zv367UHhYWhpKSEoNb2E8bOefn52P27NmIj4/HV199hQkTJug0h/rQNN8BAwao/R2V34E2bdo0rFu3Dl26dNFtYjXQxnssn9u3e/dupfZTp07hyZMn8Pf319vv7fM0zdfe3h62tra4d++eype+uLg4JCcn1+sL3/O4ovVLKi0tDYGBgSgsLFRa7fjMmTOYP38+/vnPfyr1HzhwIFJTU1Uu5xw8eBAff/wxXF1dMWHCBIhEIuzfvx9JSUlYuHAh5s2bp8u0qqWtfNVxc3MzyBWttZHz7t27sWzZMtjb22PRokUqj4SwtLTE4MGDdZIPAISHh+Pzzz9XrIRbVlaG0NBQZGdnIywsTHFHYGxsLKZPn46xY8dixYoViv1lMhmmT5+OK1euYMyYMejevTtu376Nn376Cb6+vtixYweMjY11lk9daJrz+PHjkZCQgEGDBmHo0KEq47u5uRnUnZSa5qtOZGQklixZYrArWmuac2VlJYKCgnDhwgW88cYb6NmzJx4+fIjQ0FCYmpoiPDwcnTp10ld6KjTNV/53ycLCApMnT1ZMtA4PD4dMJkNoaGiDCyPOKXpJtW7dGuHh4Vi7di3Cw8NRVFSE9u3bY9myZZg0aVKdxxkzZgxsbW2xZcsWbNy4EZWVlZBKpVizZo1igT9DoK18XyTayFm+XkhmZib+/e9/q2x3dnbWaVE0efJk2NjYYOvWrfj6668hkUjQvXt3fPDBB3X6YDc2NsbmzZuxceNG/PLLLzh69CgcHBwwa9YsvPfeewZXEAGa55yQkADg2aJ5p0+fVtkeHBxsUEWRpvm+iDTN2cjICJs2bcKWLVtw+PBhnD59WvGF5f3334erq6sOsqg7TfOdMmUKHB0dsWvXLuzbtw+FhYWwsbFBv379MH/+fI1+TnimiIiIiAicU0REREQEgEUREREREQAWRUREREQAWBQRERERAWBRRERERASARRERERERABZFRERERABYFBEREREBYFFEREREBIBFEREREREAFkVEOpeSkgI3Nzd88sknGo81cOBADBw4UAtREb3YYmNj4ebmhvXr1+s7FHqB8YGwRFqSlJSEn376CbGxsXj06BFKS0thY2ODLl26YMiQIRg9ejRMTEz0HSYREVWDRRGRFmzYsAEbN25EZWUlvL29MXbsWFhYWCAzMxOXLl3CZ599hrCwMERGRuo7VCIiqgaLIiINff/991i/fj1atWqFdevWwdPTU6XPmTNnsG3bNj1ER0REdcU5RUQaSElJwYYNGyCRSLB582a1BREADBgwAFu3bq1xrGnTpsHNzU3ttsjISLi5uVV7pik/Px/Lli1Dv3790LVrVwwfPhw//vgjBEGoX0JVXLlyBfPmzcNrr70GDw8P9OnTBxMnTsSGDRtU+hYXFyMkJASjR4+Gl5cXvL29MWnSJPz8888qfavO/UhMTMScOXPQvXt3eHp6YurUqfjzzz/VxlNRUYHdu3dj4sSJ8PHxgaenJ8aMGYPQ0FBUVlaq9D99+jRmzJiBvn37wsPDA3379sXUqVOxe/dulb45OTlYu3YtRo4cCU9PT/j6+uLNN9/EqlWrUFRUpNJ39erVGDZsGLp16wZfX1/MmDED0dHRKuNWfd9iYmIwbdo0eHt7w8fHB3PmzEFSUpLaXIuLi7F582aMGzcO3t7e8Pb2xrBhw7B8+XJkZmY2+LWvr2PHjmHKlCnw9fVFt27dMGrUKISEhKCsrEzRp7S0FN27d4e/vz8qKirUjvP555/Dzc0NZ86cUWpPSkrCJ598gv79+8PDwwO9e/fG4sWLcffuXZUxPvnkE7i5ueHhw4fYtWsXRo0ahW7dumHatGk15pCQkIDly5fjzTffhJ+fH7p27YqAgACsWLECubm5Kv2rvmdnz57F5MmT4eXlhR49euD9999HcnJyHV45elHxTBGRBiIjI1FeXo4RI0ZAKpXW2Lex5hOVlZVh5syZyM/Px4gRI1BeXo7jx4/jyy+/xL179/D555/Xe8yoqCjMnTsXVlZWGDhwIBwdHZGTk4O7d+/ip59+QnBwsKJvXl4eZsyYgZs3b8Ld3R3jx49HZWUloqOjsXjxYvz1119YuHChyjESEhLwww8/wMvLC4GBgUhLS8OJEycwc+ZMHDx4EB06dFD0LS8vx7x58xAdHQ1XV1eMHDkSpqamiI2NxRdffIFr167h66+/VvTfs2cPli5dCgcHBwwYMAC2trZ4+vQpbt++jcjISEyZMkXR9+HDh5gxYwZSU1Ph7u6Ot956C5WVlUhOTsaOHTswefJkWFhYAABSU1Mxbdo0pKamonv37ujXrx+Ki4tx5swZBAUFYdmyZZg4caJKrmfPnsXp06fRr18/TJ48GUlJSTh37hzi4+Nx9OhRtGjRQtE3NzcX06dPx61bt+Dq6orx48dDIpHg4cOH2L9/P4YMGQJ7e3uNXvu6WLNmDUJCQmBra4uRI0fCwsIC58+fx5o1axAdHY2tW7fCxMQEpqamGD58OPbs2YOoqCiVif9lZWX45ZdfYG9vj379+inao6KisGDBAlRUVGDAgAFo27Yt0tPTceLECZw9exY//vgj3N3dVeL68ssvceXKFfTv3x/9+/eHsbFxjXlERETg1KlT6NGjB3r37o3KykrcuHED27dvR1RUFCIiImBlZaWy34kTJ3D+/HkMHjwYfn5+SExMxPHjxxEbG4uwsDCln09qQgQiarDp06cLUqlUiIiIqPM+Dx8+FKRSqfDxxx8rtU+dOlWQSqVq99m/f78glUqF/fv3K7UPGDBAkEqlwuTJk4XS0lJFe3Z2tjBo0CBBKpUKly5dqkdGzwQHBwtSqVRITExU2fb06VOlf3/88ceCVCoVNm/erNReUlIizJ49W3BzcxNu3rypaI+JiRGkUqnafMLCwgSpVCp8/vnnSu3ffvutIJVKhWXLlgkVFRWK9oqKCmHJkiWCVCoVTp48qWgfO3as4O7uLmRmZtYa/6RJkwSpVCp8//33avuWlJQo/j116lTBzc1N+Pnnn5X65ebmCm+++abQtWtXISMjQ9Euf99effVV4eLFi0r7rFq1Su3rtmjRIkEqlQpLly4VZDKZ0raCggIhLy9P8e/6vvZ19eeffwpSqVTo37+/8OTJE0V7eXm5MHfuXEEqlQqbNm1S6b9gwQKVsY4dOyZIpVLhq6++UrTl5OQI3bt3F/z8/IS//vpLqf/t27cFLy8vYcyYMUrt8lz79u0rPHjwQOU48p+rb7/9Vqk9JSVF6WdGLiIiQpBKpUJISIhSu/w9k0qlwm+//aa0bceOHYJUKhWmT5+uMh41Dbx8RqSBjIwMAICjo6Ne41i8eLHSmSgbGxvMnz8fADSa3G1qaqrSVvWsRnZ2Ng4fPgwPDw+88847Kvt++OGHEAQBR44cURnHx8cH48aNU2obP348xGIxrl+/rmirrKxEaGgoHBwcsGTJEqUzA8bGxvjkk08gEolUjiEWiyEWq54Mrxp/QkIC4uLi8Oqrr6rEL+8rfw1u3bqFS5cuISAgACNGjFDqZ21tjQULFqC0tBTHjx9XGWf48OHw9/dXapOfUYqPj1e0PX36FMeOHYODgwM+/vhjGBkp/4m2tLREs2bNAGj22tdm//79AIB3330XDg4OinaxWKyIa+/evYp2b29vtG/fHr/99htycnKUxjp48CAAYMyYMUpteXl5eP/999GpUyel/lKpFIGBgbh58yb+/vtvldiCgoLQpk2bOufi7Oys9mzShAkTYGVlpfayJwD06tULAwYMUGqbOnUq2rZti5iYGKSmptY5Bnpx8PIZ0QtOLBbD29tbpd3Pzw8AcPPmzXqPOWrUKJw4cQITJ07EsGHD0KtXL/j4+MDJyUmpX3x8PGQyGUQikdr1YeRzTNTNEfHw8FBpk0gksLOzQ15enqLt3r17yMnJQfv27bFp0ya18ZqZmSkdY9SoUVixYgVGjBiB4cOHw8/PDz4+PkoFEQBcu3YNANC3b1+VAuR5cXFxAICCggK1uWZlZdUr11atWgGA0ryW+Ph4VFZWokePHopLdtXR5LWvjfxnplevXirbXF1d4eTkhJSUFOTn5yuKtLFjx2Lt2rU4evSo4vJkZmYmoqOj0aVLF3Tu3FkxxtWrVwE8KzTVxS6ft5OUlKRSNHXr1q1euZSXl2PPnj04evQokpKSkJ+frzQHLT09Xe1+PXr0UGkzNjaGr68vHjx4gMTERDg7O9crFjJ8LIqINODg4ICkpKRq/7Dqgq2trdpvwvJv+Pn5+fUeMyAgACEhIdi2bRsiIyOxZ88eAIC7uzsWL16MPn36AIDirEB8fLzSGY/nFRYWqrRZW1ur7SsWi5U+tOTHSE5OVjvJW90xZs2aBVtbW/z000/YtWsXdu7cCZFIhB49euCjjz5C165dAUBRfNXlTJ88jgsXLuDChQvV9nt+YjagPlf5WayquTYknoa89rWR/8xUPUtUlYODA9LS0pCXl6coisaMGYN169bh4MGDiqLoyJEjqKioUDpLVDX2iIiIGuNQ91rK51PV1cKFC3Hy5Em0adMGgwYNgr29veKs6s6dO1FeXq52v+qOI29vyO8VGT4WRUQa8PX1RUxMDGJiYhAYGKjRWCKRCMCzb/jPX/apeubkednZ2ZDJZCqFkfzSnvxDq75ef/11vP766ygqKsK1a9dw9uxZhIWFYe7cuTh48CA6deqkGHvmzJlYsmRJg45TG/kxhgwZUmNR9LwxY8ZgzJgxyMvLQ1xcHE6ePIn9+/cjKCgIv/zyC1q0aKEoVupS1Mrj+PTTTzF9+vQGZFK7hsTTGK+9fOzMzEy0bdtWZbu6ny0nJyf06tULFy9eRFJSEjp27IgDBw5AIpFg1KhRasc/dOiQ0hmkupD/ntRFfHw8Tp48id69e2PLli1Kv1eVlZX44Ycfqt33+bv8nm9v6O8VGTbOKSLSwLhx4yCRSHD8+HG18x+qqnobszrNmzcHADx69EhlW0JCQrX7VVRUKC7tVHXp0iUAQJcuXWo8bm0sLCzg7++PJUuWYO7cuSgvL0dUVBSAZ5cyjIyMcOXKFY2OUZMOHTrA2toaV69erfZbfU2sra3Rv39/LF++HGPHjkVOTg4uX74MAIolFKKjo9Xe1l+VvG9j5ip/PS9fvqz2LIm6vo0Rz6uvvgrg2fIJz7t//z4eP34MFxcXlTNgY8eOBfBszlBiYiJu376Nfv36qVy2lL+Wf/zxh9Zjr+rBgwcAnj0O5/kvGtevX0dJSUm1+8p/RqqSyWSKmOWvETUtLIqINODi4oLg4GCUl5djzpw51V7GiIqKQlBQUI1jyS/pVJ3ACgC///47jh49WuO+q1evViq6cnJyFPNvnp/MXBeXL19Wu+bM06dPATybwwMAdnZ2GDVqFBISErBx40bIZDKVfR48eICHDx/WOwY5sViMqVOnIiMjA8uXL1f7QfbkyROlojQmJkbtGk3yeT/y+D08PODt7Y3ExERs2bJFpX92djZKS0sBPHt/unfvjpMnT2Lfvn1qY719+7biNWqIFi1aYPjw4cjIyMB///tflUKtsLBQcdmmMV/78ePHAwA2bdqkeM2AZ0WBPK4JEyao7BcQEAArKyscPnxYMcFf3c/fuHHjYG1tjQ0bNihNqperrKxUW5DVl3zOj/wLgtzTp0+xbNmyGveNiYlRWVcpNDQUDx48QM+ePTmfqIni5TMiDc2bNw8VFRXYuHEjJkyYAG9vb3h4eMDS0hKZmZm4cuUKkpOT1U62rWr8+PHYunUrQkJCcOvWLXTs2BHJyck4f/48hgwZovauJuDZ/I6ysjKMHDkSAwcOREVFBX799VdkZGTgH//4h9oJo7VZvnw50tPT4ePjA2dnZ0gkEty4cQMxMTFwdnZWuvtq6dKluH//Pr799lscPnwYPj4+sLe3x5MnT5CUlIT4+HisWbOmXncMPW/+/Pm4desWwsPDcebMGfTq1QuOjo54+vQp7t+/jz///BMLFy5UTMoNDg6GhYUFvLy84OzsDEEQcOXKFcTHx8Pd3R29e/dWjP31119j+vTpWLNmDY4fP46ePXtCEAQkJyfjwoUL+OWXX+Di4gLgWfE5Y8YMfPrpp9i1axc8PT3RrFkzPH78GHfu3MGdO3ewZ88e2NnZNTjXpUuX4q+//kJ4eDguXbqEvn37QiKRICUlBdHR0di0aRN69uzZqK+9j48PgoKC8MMPP2DkyJEYOnQozM3Ncf78edy5cwe+vr54++23VfYzMzPDG2+8gX379iEsLAw2Njbo37+/Sj9bW1t8++23eO+99zBx4kT4+/ujU6dOEIlEePz4MeLi4pCTk1PjXKm66Nq1K3x8fHDixAlMnjwZPj4+ePr0KaKiouDq6oqWLVtWu++AAQMQHByMwYMHo127dkhMTERUVBRsbGwatPYXvRhYFBFpQXBwMIYNG6Z4IGxkZCTKyspgY2ODzp07IygoCKNHj65xDDs7O4SGhmLlypW4fPkyLl++DA8PD2zbtg0pKSnVFkUmJibYsWMH1qxZg6NHjyI7Oxtt2rTBnDlzal3ttzpz587FqVOnkJCQgN9//x0ikQitW7fGvHnzMGPGDMWlPgCwsrLCrl27EBERgZ9//hknTpxAaWkp7O3t0a5dOyxZskSpCGkIiUSC7777DocOHcKBAwdw9uxZFBUVwdbWFi4uLvjnP/+pNG9l8eLFiI6Oxo0bN3Du3DmYmpqidevW+Ne//oW33noLEolE0bdNmzaIjIzEDz/8gFOnTiE0NBSmpqZwdnbG7NmzlQocJycn7N+/H6GhoThx4gSOHDkCmUwGe3t7dOrUCVOnTq11Ec/aNG/eHOHh4di5cyeOHTuGiIgIGBkZoVWrVhg/frzS3ViN+dp/+OGH6NKlC0JDQ3Hw4EFUVFSgbdu2+OCDDzB79uxqFyMdO3Ys9u3bh/LycowcObLafv7+/jh8+DC2bduG6OhoXLlyBRKJBC1btkSvXr0wdOjQBsVdlbGxMTZt2oRvvvkGUVFR2LVrFxwdHREYGIh3331XZWmFqgICAjBp0iR8//33OHfuHMRiMQICArBo0SK4urpqHBsZJpGg7hwzERHRSygyMhJLlizBV1991aBLz/Ri45wiIiIiIrAoIiIiIgLAOUVEL4W8vDzs3LmzTn3Hjh2rmFhMTUNKSgoOHDhQp74zZsyodmFNoqaOc4qIXgIpKSkYNGhQnfr++OOPirubqGmIjY2t84KTp0+fZlFMLy0WRURERETgnCIiIiIiACyKiIiIiACwKCIiIiICwKKIiIiICACLIiIiIiIALIqIiIiIALAoIiIiIgLAooiIiIgIAIsiIiIiIgAsioiIiIgAAP8Hv793gLAsS+QAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style='white')\n",
    "# Signature-specific scoring is required, as overlaps need to be taken into account\n",
    "\n",
    "signature1 = 'club_like_senescence'#'Club region'#'MP19 Epithelial Senescence'\n",
    "signature2s = ['High NLR-associated','CD300LD downstream','MDSC Hirz 2023','MDSC Calcinotto 2018','AR signaling']\n",
    "\n",
    "\n",
    "simple_gene_modules_dict = {\n",
    "    signature1: gene_modules_dict[signature1]\n",
    "}\n",
    "\n",
    "for signature2 in signature2s:\n",
    "    simple_gene_modules_dict[signature2] = set(gene_modules_dict[signature2]).difference(gene_modules_dict[signature1]) # Only remove the overlap from one gene set\n",
    "\n",
    "pseudobulk_dat_log2_tpm = log2_tpm_normalized_dat.drop(columns=['treatment','treatment_detailed']).T\n",
    "\n",
    "gsva_res = gp.gsva(data=pseudobulk_dat_log2_tpm,gene_sets=simple_gene_modules_dict,outdir=None,min_size=0)\n",
    "gsva_res_df = gsva_res.res2d.pivot(index='Name', columns='Term', values='ES').reset_index(names='Sample Identifier')\n",
    "\n",
    "# Add a sample class identifier column\n",
    "gsva_res_df['sample_class'] = gsva_res_df['Sample Identifier'].map(treat_info).map(treatment_mapping_dict_simple).astype('category').cat.set_categories(['BPH','TRNA','NEADT','CRPC'])\n",
    "\n",
    "gsva_res_df[signature1] = gsva_res_df[signature1].astype(float)\n",
    "\n",
    "gsva_res_df = gsva_res_df[gsva_res_df['sample_class'].isin(['TRNA','NEADT','CRPC'])] # 'BPH','TRNA','NEADT','CRPC'\n",
    "\n",
    "for signature2 in signature2s:\n",
    "\n",
    "    gsva_res_df[signature2] = gsva_res_df[signature2].astype(float)\n",
    "\n",
    "    ## PLOT ##\n",
    "    fig, ax = plt.subplots(figsize=(5,5),dpi=120)\n",
    "    # create scatterplot with color-coded points\n",
    "    sns.scatterplot(x=signature1, y=signature2, data=gsva_res_df, hue='sample_class', linewidth=0.1, s=30, ax=ax,legend=False) # \n",
    "\n",
    "    # add regression line to plot\n",
    "    sns.regplot(x=signature1, y=signature2, data=gsva_res_df, scatter=False, ax=ax,color='gray')\n",
    "\n",
    "    #ax.set_ylim(-0.5,1.0)\n",
    "    #ax.set_xlim(0,1.2)\n",
    "    corr_coef, p_value = spearmanr(gsva_res_df[signature1], gsva_res_df[signature2])\n",
    "\n",
    "\n",
    "    ax.set_title(f\"Corr. Coef.: {corr_coef:.2f}, p-value: {p_value:.2e}\")\n",
    "    plt.tight_layout()\n",
    "\n",
    "    #plt.savefig('plots/score_correlations/'+signature1.replace(' ','_')+'_'+signature2.replace(' ','_')+'_signature_correlation_in_bulk_no_overlap.pdf')\n",
    "\n",
    "    plt.show()\n",
    "    #plt.clf()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "infercnvpy",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
